{"id":"W2791625155","doi":"10.1016/j.annepidem.2018.02.005","title":"Measuring cancer in indigenous populations","year":2018,"lang":"en","type":"article","venue":"Annals of Epidemiology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia; University of British Columbia","funders":"World Health Organization","keywords":"Indigenous; Disadvantage; Population; Medicine; Cancer; Socioeconomics; Demography; Environmental health; Political science; Sociology; Ecology; Law; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001989648,0.0003477535,0.0003055385,0.001469542,0.001426021,0.0009753053,0.0005994322,0.0004311701,0.0008295797],"category_scores_gemma":[0.007540754,0.0002404532,0.000489247,0.001859367,0.000488487,0.0008181448,0.00133485,0.0006940548,0.0002146291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431979,"about_ca_system_score_gemma":0.001752083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1202513,"about_ca_topic_score_gemma":0.1315428,"domain_scores_codex":[0.9985572,0.0006213011,0.0000980227,0.0001777252,0.0003378387,0.000208031],"domain_scores_gemma":[0.9979801,0.0004186599,0.0004815215,0.0001418208,0.0006260927,0.0003518337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004264627,0.0001250911,0.9792133,0.00009065487,0.0001070393,0.00004682043,0.003697336,0.00009895989,0.000424086,0.000137036,0.0003456778,0.01567141],"study_design_scores_gemma":[0.000003871715,0.0001446146,0.9925038,0.00006751524,0.000112199,0.0000857786,0.005456379,0.000162696,0.0003260594,0.0001819731,0.0009459874,0.000009242672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948117,0.0004858356,0.0003179064,0.0003050581,0.00002322332,0.00004540588,0.0002551752,0.000007732884,0.00374804],"genre_scores_gemma":[0.9974354,0.0005349831,0.0007531531,0.0001309307,0.00002684325,0.00006621237,0.0001880717,0.000002824502,0.0008615531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1202513,"threshold_uncertainty_score":0.2391028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3808764805244922,"score_gpt":0.4587051967749619,"score_spread":0.07782871625046961,"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."}}