{"id":"W4313153503","doi":"10.2139/ssrn.4082380","title":"Discoverability Demystified","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Discoverability; Medicine; Computer science; Business; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0191744,0.0009076466,0.001957096,0.009196049,0.004138839,0.01476126,0.004010823,0.0041113,0.01963846],"category_scores_gemma":[0.1023511,0.001411677,0.00243193,0.005270581,0.01740775,0.04504943,0.02000255,0.009548264,0.006951122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003456443,"about_ca_system_score_gemma":0.008998793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00303806,"about_ca_topic_score_gemma":0.001733192,"domain_scores_codex":[0.974814,0.005298359,0.002082069,0.004714922,0.01148548,0.001605186],"domain_scores_gemma":[0.8154157,0.0585929,0.005321855,0.09654087,0.02045547,0.003673204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000048791,0.00003321693,0.0007106843,0.0001147835,0.00003402758,0.0001424411,0.001035168,0.0008699526,0.0007709147,0.9490226,0.005753813,0.04146363],"study_design_scores_gemma":[0.00001519255,0.0000183931,0.0002439701,0.0000627422,0.0000370089,0.0002482272,0.0003460169,0.004320935,0.001922551,0.9412813,0.05147649,0.00002711443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05259516,0.001907637,0.6589417,0.04227407,0.001719762,0.0004626123,0.002442715,0.008928583,0.2307277],"genre_scores_gemma":[0.6908951,0.002193319,0.2176862,0.003004761,0.001471549,0.0005539289,0.00267688,0.002973697,0.07854465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01963846,"threshold_uncertainty_score":0.1014051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491227011319232,"score_gpt":0.2980510363292291,"score_spread":0.2831387662160368,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}