3e:null 3f:["$","title",null,{"children":"LLM-ans-authorities Lit review test | Dan Brickley | Observable"}] 45:[] 43:{"id":"9cef96fe7fb66e27","slug":null,"title":"LLM-ans-authorities Lit review test","thumbnail":"2a4b1ed4ea97293f470bb8e93a5b5cd26726e47e85aa16fb9e3132760edd6c25","access_level":"public","create_time":"$D2023-04-28T19:57:56.315Z","update_time":"$D2023-04-28T19:57:56.315Z","view_time":null,"first_public_time":"$D2023-04-28T19:57:56.315Z","has_unpublished_edits":null,"fork":{"id":"c54d6f8aef17985f","slug":null,"title":"LLM-ans-authorities Lit review test","owner":{"id":"6aa75e0ed4c47ade","login":"mazeballsold","name":"Dan Brickley"}},"stars":1,"starred":false,"owner":{"type":"team","id":"106555a24076e6ff","login":"danbri","name":"Dan Brickley","avatar_url":"https://avatars-next.observableusercontent.com/694c8b721e963dc1e6a715e4d1aeed1b548a4429eb1632941bdee91817e1c623","tier":"starter_2024","bio":"Account migration mess. Please ignore this mess - fixing...","following":false},"version":547,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"797044e17d86d37d","login":"danbri","name":"Dan Brickley","avatar_url":"https://avatars-next.observableusercontent.com/694c8b721e963dc1e6a715e4d1aeed1b548a4429eb1632941bdee91817e1c623","tier":null,"bio":"Account migration mess. Please ignore this mess - fixing...","following":false}],"members":[{"type":"individual","id":"797044e17d86d37d","login":"danbri","name":"Dan Brickley","avatar_url":"https://avatars-next.observableusercontent.com/694c8b721e963dc1e6a715e4d1aeed1b548a4429eb1632941bdee91817e1c623","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"LLM-ans-authorities Lit review test","cells":[{"id":5,"value":"# LLM-ans-authorities Lit review test","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":494,"value":"warning: contains no langchain (yet? ever?)\n\n* todo: add as many string to ID simple REST services as can for dcid: or wikidataId\n* add statvar lookups similarly (main rest api, maybe CSE, maybe dedicated)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":389,"value":"import { textcolor } from \"@observablehq/text-color-annotations-in-markdown\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":446,"value":"import {openaiApiKey, completions, text_edits, code_edits, images}\nwith { OPENAI_API_KEY as API_KEY } \nfrom \"@osteele/openai-api\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":455,"value":"OPENAI_API_KEY = \"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\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":419,"value":"topic = \"neanderthal genes and hayfever?\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":106,"value":"## Generate queries for task","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":157,"value":"queries = completions(\n `Exactly ${max_answers} distinctly different, semantically varied, terminologically varied diverse and creatively clever full text alphanumeric pubmed queries for a biomedical phd researcher finding pubmed papers exploring this research topic: \"${topic}\". Make sure to ask the same thing in different ways. Merely reordering the queries is not enough and is forbidden. No two outputs should contain the same words (reordered or not). Format must be syntax correct valid JSON. An array of simple strings, each string containing no quotes or special characters eg punctuation. No complex query syntax - fields, params etc. Only alphanumeric and whitespace. Here is the JSON result as a correctly terminated array with \"]\" as required by JSON:`\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":375,"value":"myarray = JSON.parse(queries)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":189,"value":"viewof n = Inputs.range([0, max_answers], { step: 1, label: \"show query\" })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":463,"value":"modelpref = \"davinci-instruct-beta\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":257,"value":"md`Q: [${n}]: ** ${myarray[n]} **\n\n${textcolor(pmtitle, { background: \"#111111\", color: \"pink\" })} \n\n${textcolor(\"Abstract: \", d3.schemeTableau10[2])}\n*${pmblurb}*\n\n${textcolor(\"Analysis: \", d3.schemeTableau10[2])} \n**${summary}**\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":238,"value":"pmres = {\n yield await searchEuropePMC({ query: myarray[n], synonym: false });\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":276,"value":"summary = yield completions(\n `This article: ${pmtitle}. ${pmblurb}. Unless completely irrelevant to original topic (${topic}) & query\n(${myarray[n]}) (in which case write \"❌ No match.\"), according to this article and without unfounded speculation, this may relate to the search intent behind original query as follows:`,\n { model: modelpref }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":436,"value":"minority_report = yield completions(\n `We evaluate a pubmed article for possible insight and claims relating to our fundamental research questions regarding our topic: ${topic} and specific query ${myarray[n]}. This is not reviewing the article, it is looking for connection between research topic and a research paper. Oiginal paper abstract: ${pmblurb}. Analysis trying to connect these concluded: ${summary}. Skeptical critique lists following weaknesses in the case made:`\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":440,"value":"md`${minority_report}`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":273,"value":"pmtitle = pmres.resultList.result[0].title","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":285,"value":"pmblurb = pmres.resultList.result[0].abstractText","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":347,"value":"max_answers = 10","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":21,"value":"//viewof openaiApiKey\n\n/* viewof openaiApiKey = secret(\"OPENAI_API_KEY\", {\n description:\n \"This is an OpenAI API token whose value is only available to your notebooks.\",\n submit: \"Save OpenAI API key\"\n})*/","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":231,"value":"pmres2 = searchEuropePMC({ query: myarray[n] })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":230,"value":"searchEuropePMC = async function (option) {\n let query = option.query;\n let params = new URLSearchParams({\n query: query,\n resultType: \"core\",\n cursorMark: \"*\",\n pageSize: 1,\n sort: \"CITED desc\",\n synonym: true,\n format: \"json\"\n });\n let queryURL = new URL(\n `https://www.ebi.ac.uk/europepmc/webservices/rest/search?${params.toString()}`\n );\n let response = await fetch(queryURL);\n return await response.json();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":486,"value":"xsltforms = import('https://www.agencexml.com/xsltforms/xsltforms.js')\n","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":542,"value":"\n","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":545,"value":"input {\n display: block;\n padding: 10px;\n font-size: 18px;\n width: 100%;\n margin-bottom: 10px;\n}\ninput:invalid {\n border-color: red;\n}\nlabel {\n display: block;\n font-weight: bold;\n margin-bottom: 5px;\n}\nbutton {\n background-color: #4CAF50;\n border: none;\n color: white;\n padding: 15px 32px;\n text-align: center;\n text-decoration: none;\n display: inline-block;\n font-size: 16px;\n margin: 4px 2px;\n cursor: pointer;\n}\n","pinned":true,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"}],"files":"$W45","stdlib":"1"}} 44:"$43:body"

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