{"id":"W2117589853","doi":"10.1136/ip.6.3.203","title":"Socioeconomic differences in childhood injury: a population based epidemiologic study in Ontario, Canada","year":2000,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":211,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"","keywords":"Socioeconomic status; Injury prevention; Poison control; Occupational safety and health; Human factors and ergonomics; Suicide prevention; Environmental health; Population; Demography; Epidemiology; Medicine; Forensic engineering; Engineering; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001935862,0.0002337817,0.0006864547,0.0002345227,0.00008077419,0.000007871829,0.0001128639,0.0002323972,0.00491552],"category_scores_gemma":[0.000142924,0.0002222119,0.0001249428,0.0001591408,0.00002504437,0.0001729156,0.0000173951,0.0006034257,0.00004055569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194204,"about_ca_system_score_gemma":0.0007307239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8961055,"about_ca_topic_score_gemma":0.9860965,"domain_scores_codex":[0.9968609,0.001129242,0.001003577,0.0004934439,0.0001407716,0.0003721082],"domain_scores_gemma":[0.9992185,0.0001763209,0.0002164382,0.0002935312,0.00001922393,0.00007603237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000611092,0.0007259788,0.9804787,0.00001344654,0.00002806103,0.000009121175,0.0001374412,0.00005899189,0.0000168855,0.00003075563,0.0002879908,0.01760151],"study_design_scores_gemma":[0.001428335,0.0009599024,0.9925109,0.0001339278,0.00005246941,0.000003296281,0.0000759552,0.0002584062,0.00001695347,0.004212664,0.0001505721,0.0001966591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971534,0.0000433433,0.00001699979,0.000508555,0.000230297,0.001327578,0.00001014423,0.00003682119,0.0006728898],"genre_scores_gemma":[0.9973153,0.00001274943,0.0001939115,0.0006279445,0.00005566288,0.0001582866,0.0002425323,0.00001400549,0.001379607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08999095,"threshold_uncertainty_score":0.9959942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488415873290927,"score_gpt":0.3064545159112099,"score_spread":0.2815703571783006,"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."}}