{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004802436,0.0002805323,0.0003876751,0.001256434,0.00323922,0.0009508858,0.0008174949,0.0003680747,0.001777835],"category_scores_gemma":[0.001108052,0.0004278655,0.0004141359,0.004505267,0.0006032173,0.0004142103,0.0007629197,0.0004898935,0.0002344074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02191697,"about_ca_system_score_gemma":0.02968198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960666,"about_ca_topic_score_gemma":0.9980698,"domain_scores_codex":[0.9992368,0.00004738303,0.00005167328,0.0001004842,0.000336099,0.0002275054],"domain_scores_gemma":[0.9989414,0.00003978435,0.0002325744,0.00003468107,0.0004985916,0.0002530047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002556352,0.00002399378,0.9959515,0.00003364002,0.0000274984,0.00009718138,0.0007997903,0.00004767211,0.0001166702,0.00005555614,0.0009506929,0.001870218],"study_design_scores_gemma":[0.000004373799,0.000009022165,0.9985844,0.00002155892,0.000008838225,0.00003361726,0.0005736892,0.00007867206,0.00001367066,0.0000104946,0.000658051,0.000003607877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855262,0.001114871,0.0002096879,0.0005925847,0.0000152228,0.0001207646,0.009232379,0.00001308717,0.003175109],"genre_scores_gemma":[0.9944676,0.001048534,0.0002839818,0.0001252892,0.000006806024,0.00005160588,0.002497436,0.000006299527,0.001512516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02191697,"threshold_uncertainty_score":0.1590195,"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."}}