{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006896948,0.0003099668,0.0003766591,0.001422531,0.005661336,0.001744736,0.001439122,0.001169172,0.007236541],"category_scores_gemma":[0.01480446,0.0002343784,0.0005603189,0.0009440459,0.001561963,0.001403736,0.003489577,0.001482398,0.000703731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005433201,"about_ca_system_score_gemma":0.03691547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5241829,"about_ca_topic_score_gemma":0.5929979,"domain_scores_codex":[0.997084,0.001141612,0.00009537023,0.0001699088,0.0006543667,0.000854826],"domain_scores_gemma":[0.9945096,0.0008749635,0.0004350659,0.0003283407,0.001375035,0.00247696],"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":[0.0002627361,0.00274571,0.2665333,0.00244246,0.0001958458,0.001040425,0.08441827,0.0003396276,0.003906883,0.005566783,0.05358317,0.5789649],"study_design_scores_gemma":[0.000220685,0.001837158,0.6945052,0.004754527,0.0003426663,0.0008253908,0.08073156,0.0005107949,0.001465103,0.006232133,0.2084251,0.0001496911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6604955,0.02015868,0.00293814,0.2016001,0.002301106,0.001452912,0.0006074558,0.0003358233,0.1101102],"genre_scores_gemma":[0.9214728,0.02074975,0.01056772,0.03173208,0.001115157,0.0007765851,0.0002374426,0.00003769984,0.01331079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4758171,"threshold_uncertainty_score":0.9572387,"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."}}