{"id":"W4210392614","doi":"10.1007/s43032-022-00871-9","title":"Infertility Consults in Immigrant and Refugee Women in Ontario: Population-Based Cohort Study","year":2022,"lang":"en","type":"article","venue":"Reproductive Sciences","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Institute of Human Development, Child and Youth Health; Canadian Institutes of Health Research","keywords":"Refugee; Infertility; Medicine; Immigration; Demography; Poisson regression; Population; Residence; Cohort; Cohort study; Fertility; Pregnancy; Geography; Environmental health; Internal medicine; Sociology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005323634,0.0001244421,0.0003763155,0.0004650737,0.000269951,0.00001418775,0.0001283775,0.00002787076,0.00006647515],"category_scores_gemma":[0.001660479,0.0001044739,0.00001796037,0.001254865,0.0003522512,0.0001304578,0.000131024,0.0004353104,0.000001079872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140387,"about_ca_system_score_gemma":0.0006711594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1715299,"about_ca_topic_score_gemma":0.06026873,"domain_scores_codex":[0.9972537,0.0002083682,0.0003773166,0.001264264,0.0004861678,0.0004102464],"domain_scores_gemma":[0.9991141,0.00008589988,0.0001070291,0.0005563803,0.00006854766,0.00006805897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002956032,0.0005917016,0.9951832,0.0000147068,0.00000664974,0.00003029313,0.002751336,0.0001253935,0.0001046213,0.00006329538,0.000003917622,0.000829299],"study_design_scores_gemma":[0.0008876972,0.001085133,0.9875004,0.00001091469,0.00000524785,0.00001696844,0.008255943,0.00003948883,0.0001022719,0.001842248,0.0001513715,0.0001022743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954619,0.0003099476,4.159868e-7,0.001806709,0.0001412138,0.001932635,0.000002842732,0.00005674621,0.0002875629],"genre_scores_gemma":[0.9990967,0.000004072268,0.0001286257,0.00007247086,0.00001409399,0.0005411174,0.000004157279,0.000004746196,0.0001340051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1112612,"threshold_uncertainty_score":0.9568789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03084812156728094,"score_gpt":0.3194402050938912,"score_spread":0.2885920835266103,"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."}}