{"id":"W4410607674","doi":"10.1186/s12905-025-03799-9","title":"Cervical and breast cancer screening outcomes among Métis people in Alberta, Canada","year":2025,"lang":"en","type":"article","venue":"BMC Women s Health","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Métis National Council; Alberta Cancer Foundation; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Reproductive medicine; Cervical cancer; Breast cancer; Gynecology; Family medicine; Cervical cancer screening; Environmental health; Obstetrics; Cancer; Internal medicine; Pregnancy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005516573,0.0002521463,0.0002944581,0.001258644,0.001733201,0.0007237049,0.0008603041,0.0002416315,0.001345329],"category_scores_gemma":[0.001171912,0.0001666866,0.0004325793,0.003102946,0.0004646072,0.0002440969,0.0008143174,0.0004375608,0.0001346613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01650366,"about_ca_system_score_gemma":0.02011301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920895,"about_ca_topic_score_gemma":0.9948924,"domain_scores_codex":[0.9994319,0.00003693425,0.00002452583,0.00006054649,0.0002160047,0.0002299893],"domain_scores_gemma":[0.9990252,0.0000425589,0.0001826736,0.00002468303,0.0004271017,0.0002977712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009670779,0.00003759409,0.9931825,0.00005066345,0.00004048664,0.0000900645,0.0008814465,0.0001045514,0.0001420557,0.00006450956,0.0007428004,0.004566572],"study_design_scores_gemma":[0.000008452232,0.00003076909,0.99771,0.00002456604,0.00002307936,0.000036997,0.001509477,0.0001586347,0.00003625339,0.00002047452,0.000436381,0.000004981717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934593,0.0004879784,0.00006543234,0.0002721371,0.000009103439,0.00005203872,0.003503631,0.000009603977,0.002140634],"genre_scores_gemma":[0.9967073,0.0003215051,0.0001438131,0.00007940503,0.000003910887,0.00002556048,0.001853933,0.00000291172,0.0008615168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01650366,"threshold_uncertainty_score":0.119743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02605418298294551,"score_gpt":0.3329281178615276,"score_spread":0.3068739348785821,"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."}}