{"id":"W4379984085","doi":"10.2139/ssrn.4460435","title":"Predictors of Non-Adherence to Cervical Cancer Screening Among Immigrant Women in Ontario","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Immigration; Medicine; Cervical cancer screening; Cervical cancer; Cancer; Obstetrics; Cancer screening; Gynecology; Demography; Internal medicine; Geography; Sociology","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":[0.0005111229,0.0001742302,0.0003093857,0.000778849,0.002181147,0.001284314,0.001013535,0.0005279309,0.003464452],"category_scores_gemma":[0.003335664,0.0003539155,0.0004923548,0.002460565,0.0005937503,0.0004330891,0.0008934048,0.0007455791,0.0002603788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009997739,"about_ca_system_score_gemma":0.01747335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9655719,"about_ca_topic_score_gemma":0.9846763,"domain_scores_codex":[0.9993823,0.00007364302,0.00006254128,0.00007789804,0.000141438,0.0002622441],"domain_scores_gemma":[0.9974893,0.0002513693,0.0007086528,0.00009255334,0.0006319087,0.0008261199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003408878,0.00002429672,0.9976974,0.000009850956,0.00001501709,0.00005438869,0.0009458105,0.00002331004,0.00004925723,0.00004070142,0.0002926986,0.000813154],"study_design_scores_gemma":[0.000004511674,0.00001555914,0.9958482,0.00001963448,0.00001294853,0.0000294823,0.003469772,0.0001251275,0.00001447419,0.00001809417,0.0004373697,0.000004787406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967693,0.0001417096,0.00002541336,0.0003839688,0.000008333772,0.00001874401,0.0008060632,0.000003499534,0.001842988],"genre_scores_gemma":[0.9982473,0.0001433709,0.00004911237,0.00008156768,0.000005959108,0.00001314841,0.0003780781,0.000003380019,0.00107813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03442806,"threshold_uncertainty_score":0.07253903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04572660420478593,"score_gpt":0.3209411861338125,"score_spread":0.2752145819290265,"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."}}