{"id":"W2267070502","doi":"10.3402/ijch.v75.30059","title":"Cancer incidence and mortality among the Métis population of Alberta, Canada","year":2016,"lang":"en","type":"article","venue":"International Journal of Circumpolar Health","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Métis National Council; University of Calgary; Alberta Health; University of Alberta","funders":"","keywords":"Medicine; Incidence (geometry); Cancer registry; Population; Lung cancer; Demography; Epidemiology; Cancer; Cancer incidence; Mortality rate; Gerontology; Environmental health; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005701929,0.0000658056,0.0002079624,0.00005624873,0.00004450892,0.000009393456,0.0001623078,0.00002705847,0.00006231262],"category_scores_gemma":[0.0003538292,0.00003704843,0.00005008136,0.00006044482,0.0000603824,0.0002077251,0.00002612162,0.0001226252,2.278743e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005180801,"about_ca_system_score_gemma":0.001528344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8907898,"about_ca_topic_score_gemma":0.7754223,"domain_scores_codex":[0.9984431,0.00005790887,0.0005034007,0.00008160029,0.00078323,0.0001307828],"domain_scores_gemma":[0.9985509,0.0001362584,0.0006137612,0.00009457408,0.0004618005,0.000142722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006088634,0.00000846791,0.9846053,0.00001582929,0.00007815452,0.00001717561,0.0001557101,0.000008510049,0.0002455657,0.0004058198,0.0007912786,0.01360727],"study_design_scores_gemma":[0.0004301012,0.00007294506,0.9969323,0.0006391384,0.00002311688,0.0001968888,0.00007175239,0.00002350757,0.0002170489,0.0003081114,0.001048492,0.00003654963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981177,0.001383466,0.0003195608,0.01646971,0.0004933266,0.00007760894,0.00001832162,0.000001495614,0.00005946256],"genre_scores_gemma":[0.9969453,0.0007150287,0.00004703429,0.001988381,0.0002632873,0.000001230129,0.000001471886,0.000004705149,0.00003356182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1153675,"threshold_uncertainty_score":0.2711216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03795411125921676,"score_gpt":0.3688619175661793,"score_spread":0.3309078063069625,"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."}}