{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005021328,0.0003702004,0.0005206235,0.001205142,0.003029076,0.001585582,0.0012965,0.0009020825,0.002912255],"category_scores_gemma":[0.00173332,0.0008595663,0.0008406474,0.004019768,0.0008217856,0.0008671733,0.00150345,0.0008795203,0.0004436219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007732951,"about_ca_system_score_gemma":0.009728328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9212728,"about_ca_topic_score_gemma":0.9670562,"domain_scores_codex":[0.9990865,0.00007998096,0.00007748695,0.000195658,0.0001916988,0.0003685273],"domain_scores_gemma":[0.9984809,0.0000806128,0.0005242997,0.0001060484,0.0003568914,0.0004513677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004268972,0.00003300549,0.9972426,0.00001635005,0.00004643618,0.0001374293,0.001462852,0.00001070687,0.0001128494,0.00003050457,0.0003412863,0.000523298],"study_design_scores_gemma":[0.000004858375,0.00001838839,0.9964107,0.00002130651,0.00001881175,0.00007255797,0.003084832,0.00003320882,0.000008917768,0.0000115856,0.0003084395,0.000006411428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966133,0.000285334,0.00004500723,0.0001592392,0.000009186612,0.00003331668,0.001780426,0.000004100831,0.001070137],"genre_scores_gemma":[0.9975796,0.0003252649,0.00006466608,0.0001091099,0.000006259656,0.00002678284,0.000823058,0.00000447337,0.001060802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07872719,"threshold_uncertainty_score":0.1583816,"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."}}