{"id":"W3190083311","doi":"10.46747/cfp.6708588","title":"Improving preventive screening with Indigenous peoples","year":2021,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute in Oncology and Hematology; CancerCare Manitoba; McGill University Health Centre; McGill University; University of Calgary; University of Alberta Hospital; University of Alberta; Université de Montréal; Université Laval","funders":"Merck Canada","keywords":"Indigenous; Cervical cancer; Epidemiology; Public health; Medicine; Cervical cancer screening; Environmental health; Family medicine; Cancer; Nursing; Pathology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001822722,0.0001913448,0.0003238899,0.0001079107,0.005566419,0.00001692571,0.0001558668,0.0001403939,0.00002839999],"category_scores_gemma":[0.00003094417,0.0001827551,0.00006234653,0.0003456556,0.0000558607,0.00009443569,0.00009105636,0.0004726722,0.0002679795],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007016591,"about_ca_system_score_gemma":0.006243718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2388019,"about_ca_topic_score_gemma":0.9412394,"domain_scores_codex":[0.99733,0.0001792771,0.0002413862,0.0003600924,0.0001229925,0.001766256],"domain_scores_gemma":[0.9986864,0.0001507709,0.0001384755,0.0003059605,0.0003728904,0.0003454887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002151992,0.0004110747,0.1446233,0.001711371,0.002097569,0.003573958,0.5716124,0.0002752414,0.005279954,0.009273577,0.05766919,0.2032572],"study_design_scores_gemma":[0.001358028,0.0003130297,0.1668012,0.0003623233,0.0001427079,0.000003647531,0.7028468,0.00005130174,0.0001288636,0.0001880111,0.1269846,0.000819549],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7571155,0.001207397,0.0005012612,0.0005501649,0.0006639954,0.001055184,0.000167635,0.00008342526,0.2386554],"genre_scores_gemma":[0.8945369,0.00006022654,0.001251483,0.09859794,0.0009156261,0.0002627716,0.0001477229,0.00009347187,0.004133874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7024375,"threshold_uncertainty_score":0.9993899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244896686713206,"score_gpt":0.2865983408908043,"score_spread":0.2641493740236722,"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."}}