summary_table = html`

${results_json.input["number of sequences"]} sequences in the alignment	${results_json.input["number of sites"]} codon sites in the alignment	${results_json.input["partition count"]} partitions
${tested_branch_count} median branches/partition used for testing	${omega_rate_classes} classes non-synonymous rate variation	${srv_rate_classes ? "" + srv_rate_classes + " classes" : "None"}${srv_hmm ? " HMM" : ""} synonymous rate variation
${floatFmt(results_json["test results"]["p-value"])} p-value for episodic diversifying selection	${results_json["Evidence Ratios"]["constrained"] ? _.filter (results_json["Evidence Ratios"]["constrained"][0], (d)=>d >= pv).length : 0} Sites with ER≥${pv} for positive selection	${!_.isUndefined(mh_rates['DH']) ? floatFmt (mh_rates['DH']) : "N/A"}:${!_.isUndefined(mh_rates['TH']) ? floatFmt (mh_rates['TH']) : "N/A"} Multiple hit rates (2H:3H)
${results_json["Evidence Ratios"]["constrained"] ?_.filter (bsPositiveSelection, d=>d.ER >= 100).length : "N/A"} (branch, site) pairs with EBF ≥ 100	${contributing_sites ? contributing_sites.length : "N/A"} Sites contributing most signal to EDS detection	${!_.isUndefined(sub_fractions[0]) ? percentageFormat (sub_fractions[0]) : "N/A"}:${!_.isUndefined(sub_fractions[1]) ? percentageFormat (sub_fractions[1]) : "N/A"} Expected fractions of MH subs (2H:3H)

`