{"id":"W4214816700","doi":"10.26226/m.5c5aa89bc19d4b001153f475","title":"Sociodemographic correlates of cervical cancer screening rates in Calgary, AB, Canada: Matched analysis based on 2006, 2011 and 2016 census","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Demography; Cancer; Cervical cancer; Medicine; Geography; Gerontology; Sociology; Population; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004850205,0.0003172831,0.0004388338,0.002023336,0.001435212,0.00100934,0.001240467,0.0005681444,0.003840731],"category_scores_gemma":[0.002682207,0.0005405538,0.0008777497,0.006717181,0.0005251409,0.0004421473,0.001102222,0.0007891043,0.000522677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01327455,"about_ca_system_score_gemma":0.02436076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934658,"about_ca_topic_score_gemma":0.9957604,"domain_scores_codex":[0.9990454,0.00007507707,0.00008964748,0.0001761182,0.0002475001,0.0003661678],"domain_scores_gemma":[0.9981147,0.00009653312,0.0004334163,0.00009595753,0.0008170333,0.0004422461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005799536,0.00002005417,0.9962472,0.00002054388,0.0000716553,0.00003042238,0.0001437184,0.0001300112,0.00006283904,0.00006019962,0.001810527,0.001344766],"study_design_scores_gemma":[0.000004466269,0.000007606905,0.9984974,0.00001787659,0.00002234093,0.00002005361,0.0006937183,0.0001570284,0.00002284814,0.00001111731,0.0005401991,0.00000541282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585018,0.0007278862,0.0001515671,0.0002968755,0.00003638069,0.00007889759,0.03745102,0.00002858353,0.002727136],"genre_scores_gemma":[0.9853635,0.0005973246,0.0002303785,0.0001477322,0.00001114051,0.00005263356,0.01126831,0.00001376285,0.002315128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01327455,"threshold_uncertainty_score":0.09631407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103326171184713,"score_gpt":0.3197368952012155,"score_spread":0.2887036334893683,"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."}}