{"id":"W2528522184","doi":"10.14740/jcgo.v5i3.411","title":"Fertility History: Assessment of Performance and Quality Improvement","year":2016,"lang":"en","type":"article","venue":"Journal of Clinical Gynecology and Obstetrics","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fertility; Audit; Medicine; Medical history; Family medicine; Family history; Quality (philosophy); Gynecology; Accounting; Population; Environmental health; Business; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04819095,0.0003635986,0.0008220816,0.00663255,0.000814575,0.002566232,0.001140571,0.0004368338,0.002081685],"category_scores_gemma":[0.08006309,0.0002446726,0.0008612489,0.007472394,0.001294388,0.001691848,0.001836256,0.0007591929,0.0005389061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004163744,"about_ca_system_score_gemma":0.005101965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006309935,"about_ca_topic_score_gemma":0.005084042,"domain_scores_codex":[0.9462816,0.02618324,0.009015928,0.001635457,0.01580055,0.001083255],"domain_scores_gemma":[0.8593386,0.04140084,0.04135615,0.006028387,0.04794795,0.003928101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003577361,0.0003384084,0.653815,0.00175274,0.0002862661,0.00009191506,0.002972763,0.001085511,0.0004311902,0.00145002,0.00941849,0.328],"study_design_scores_gemma":[0.00005338157,0.001919573,0.9581553,0.001762926,0.0002369158,0.0005331485,0.003737271,0.003376782,0.002044614,0.001797079,0.02628888,0.00009398055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.759769,0.0338347,0.06808737,0.02055321,0.001152055,0.008720477,0.01175966,0.001438699,0.09468485],"genre_scores_gemma":[0.9486006,0.005228071,0.03940669,0.0007139373,0.0002810436,0.001463374,0.002286589,0.00008766747,0.001932092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04819095,"threshold_uncertainty_score":0.2548612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1413808878018998,"score_gpt":0.4399710786149348,"score_spread":0.2985901908130351,"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."}}