{"id":"W2917437655","doi":"10.1016/j.jogc.2018.11.034","title":"Limitations in Correspondence Programs for Cervical Cancer Screening: Who Are the Women We Are Missing?","year":2019,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Cancer Care Ontario; University of Toronto","funders":"Ontario Ministry of Health and Long-Term Care; Cancer Care Ontario","keywords":"Medicine; Family medicine; Incidence (geometry); Observational study; Primary care; Health care; Cervical cancer; Cancer screening; Population; Cervical cancer screening; Cervical screening; Demography; Cancer; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.05130371,0.000588422,0.001514013,0.002826917,0.006451091,0.007261134,0.005966904,0.004630439,0.02897402],"category_scores_gemma":[0.2596821,0.001016718,0.001239423,0.004813433,0.003689605,0.01122563,0.006382077,0.0067006,0.00373371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009157158,"about_ca_system_score_gemma":0.04572146,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1451878,"about_ca_topic_score_gemma":0.144845,"domain_scores_codex":[0.9319838,0.03574476,0.006679065,0.002171618,0.01621375,0.007206992],"domain_scores_gemma":[0.7837864,0.1146832,0.02443443,0.006607479,0.03524322,0.03524518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003225877,0.001162706,0.2831125,0.002228006,0.0001610689,0.001527079,0.02156325,0.0005617205,0.0003588506,0.008116097,0.3070291,0.3738571],"study_design_scores_gemma":[0.0003532453,0.001041017,0.3444893,0.02336006,0.0006399497,0.004966714,0.1395413,0.004171379,0.001195307,0.02953117,0.4501379,0.0005726251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07034065,0.007594729,0.002250186,0.8804737,0.003096559,0.0004761207,0.002014041,0.0002838688,0.0334701],"genre_scores_gemma":[0.755526,0.01604395,0.01240911,0.1939852,0.005365017,0.001547558,0.001766912,0.0004340513,0.01292225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8548121,"threshold_uncertainty_score":0.2886856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09342094312548135,"score_gpt":0.3047725141773739,"score_spread":0.2113515710518926,"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."}}