{"id":"W2158475548","doi":"10.1136/ip.8.3.175","title":"Injury prevention and indigenous peoples","year":2002,"lang":"en","type":"letter","venue":"Injury Prevention","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Metis; Navajo; Arctic; China; Geography; Socioeconomics; Economic growth; Political science; Sociology; Archaeology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00304568,0.0002547719,0.0006026033,0.001387453,0.007518938,0.002758432,0.001052867,0.002967234,0.01212472],"category_scores_gemma":[0.008867105,0.0002140783,0.0006188721,0.001403864,0.002976619,0.00299202,0.005634132,0.00506564,0.000840255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00235565,"about_ca_system_score_gemma":0.01030799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05629417,"about_ca_topic_score_gemma":0.08824257,"domain_scores_codex":[0.9969975,0.001011423,0.0001255904,0.0002148884,0.0007251643,0.0009255133],"domain_scores_gemma":[0.9965163,0.0006158599,0.0003900049,0.0001157481,0.0006681791,0.001693758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006395973,0.0009916198,0.05610809,0.002895254,0.0001528598,0.001741786,0.1048386,0.00009760455,0.0002520414,0.02755057,0.2348755,0.5704322],"study_design_scores_gemma":[0.00005759341,0.0005381806,0.1297895,0.01437642,0.0001900555,0.002567172,0.1303159,0.0001484986,0.0001766781,0.02369695,0.6980538,0.00008922896],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.09770997,0.1941947,0.0008574555,0.5248502,0.01950376,0.0001681527,0.0002063672,0.00008479384,0.1624246],"genre_scores_gemma":[0.5273772,0.2827442,0.001947971,0.1251131,0.01404926,0.0004737426,0.0003211335,0.00006564221,0.04790775],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05629417,"threshold_uncertainty_score":0.111933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240673528109203,"score_gpt":0.322124581422267,"score_spread":0.2980572286113466,"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."}}