{"id":"W4387396603","doi":"10.1016/j.fertnstert.2023.08.176","title":"ASSESSMENT OF ADVERSE PREGNANCY AND FERTILITY OUTCOMES AMONG CANADIAN FEMALE PHYSICIANS","year":2023,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Infertility; Fertility; Pregnancy; Medicine; Childbirth; Assisted reproductive technology; Obstetrics; Population; Demography; Incidence (geometry); Family medicine; Reproductive medicine; Reproductive technology; Gynecology; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001727024,0.0003530321,0.0003635022,0.002756201,0.003415748,0.001420273,0.001417966,0.000765638,0.002235645],"category_scores_gemma":[0.008478931,0.0003810959,0.0008287955,0.004698889,0.0007113296,0.0004508555,0.001265869,0.001085945,0.0001849912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03323454,"about_ca_system_score_gemma":0.04006602,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839976,"about_ca_topic_score_gemma":0.9909878,"domain_scores_codex":[0.9978179,0.000218059,0.0001426443,0.0001662758,0.0008615958,0.0007936492],"domain_scores_gemma":[0.9934903,0.000485306,0.001692867,0.0001127783,0.002788933,0.0014297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003511392,0.00002858239,0.9972489,0.00001672841,0.00002407625,0.00003852987,0.0003922263,0.00003988502,0.00002614923,0.00005419218,0.0004823834,0.00161313],"study_design_scores_gemma":[0.000003894601,0.00002437148,0.9981478,0.00002107929,0.000012832,0.00005064274,0.001097748,0.00009475992,0.00002043575,0.0000145487,0.0005038852,0.000007907388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919389,0.0007597719,0.00005917073,0.0006773372,0.00001446473,0.00004666816,0.002828732,0.000005684451,0.003669384],"genre_scores_gemma":[0.9974728,0.0005142358,0.0001544531,0.0001905349,0.00001206357,0.00002348719,0.001056165,0.000002698356,0.0005735984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03323454,"threshold_uncertainty_score":0.2411346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03724878754053774,"score_gpt":0.315807817281641,"score_spread":0.2785590297411033,"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."}}