{"id":"W2057898617","doi":"10.1186/1471-2458-14-710","title":"Worker compensation injuries among the Aboriginal population of British Columbia, Canada: incidence, annual trends, and ecological analysis of risk markers, 1987–2010","year":2014,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Child and Family Research Institute; University of Northern British Columbia; University of British Columbia","funders":"Canadian Institutes of Health Research; Health Canada; Child and Family Research Institute","keywords":"Biostatistics; Medicine; Epidemiology; Incidence (geometry); Ecological study; Public health; Environmental health; Population; Occupational safety and health; Demography; Ecology; Pathology","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":[0.0007138678,0.0003505328,0.0003575885,0.00248196,0.001310257,0.0007788367,0.001082577,0.0003338566,0.0009496848],"category_scores_gemma":[0.001796486,0.0003187836,0.0003857867,0.00524175,0.0004136326,0.0002639896,0.0006855531,0.0006075992,0.0002930877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01431966,"about_ca_system_score_gemma":0.01668799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9905314,"about_ca_topic_score_gemma":0.9930756,"domain_scores_codex":[0.9993752,0.00005013388,0.00005686105,0.0000921399,0.0002760084,0.0001497145],"domain_scores_gemma":[0.997566,0.0000727549,0.0004666352,0.00007063352,0.001517079,0.0003069922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003921372,0.00002190379,0.9945755,0.00005832711,0.00006547687,0.000045154,0.0003086549,0.0002007232,0.00009800208,0.00002393276,0.001319619,0.003243471],"study_design_scores_gemma":[0.000001936522,0.000008285245,0.9988356,0.00002186924,0.00001826092,0.00003399676,0.0003053829,0.0002032006,0.0000186686,0.000006109472,0.0005431862,0.000003449291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771945,0.002276436,0.0002887329,0.0003643885,0.0000204582,0.00007258001,0.01794727,0.00003875739,0.001796778],"genre_scores_gemma":[0.987532,0.001362813,0.000508362,0.00008525665,0.00001114719,0.00005929258,0.00877647,0.00001066018,0.001654028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01431966,"threshold_uncertainty_score":0.1038969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00896682130777903,"score_gpt":0.2256197629923241,"score_spread":0.216652941684545,"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."}}