{"id":"W2132014607","doi":"10.1136/ip.2005.009449","title":"Young people and work injuries: an examination of jurisdictional variation within Canada","year":2006,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; University of Toronto","funders":"University of Toronto","keywords":"Residence; Occupational safety and health; Work (physics); Logistic regression; Injury prevention; Human factors and ergonomics; Suicide prevention; Poison control; Demography; Gerontology; Multivariate analysis; Medicine; Psychology; Environmental health; Sociology; Engineering","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":[0.001092328,0.0002145237,0.000434025,0.002525066,0.003434662,0.001450565,0.001086911,0.0003898007,0.001546261],"category_scores_gemma":[0.003813579,0.0003159983,0.0007677221,0.00511585,0.001165453,0.0003635554,0.001459493,0.0004602151,0.0001014717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01571465,"about_ca_system_score_gemma":0.02516887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920879,"about_ca_topic_score_gemma":0.9954084,"domain_scores_codex":[0.9980226,0.0001865826,0.0001119502,0.0002732846,0.0007704985,0.0006351575],"domain_scores_gemma":[0.9967914,0.0003129872,0.0007398264,0.000112992,0.001362339,0.0006804469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002514252,0.00001087215,0.9934098,0.0000275083,0.0000464683,0.00006985291,0.001834942,0.00007435684,0.0000997233,0.0001601175,0.0003382761,0.003902883],"study_design_scores_gemma":[0.000001455152,0.000008375066,0.9970185,0.00002840109,0.00001415917,0.00003800526,0.002178614,0.00009972911,0.0000232253,0.00001925548,0.0005646697,0.000005693853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995056,0.0009732219,0.0001681725,0.0003660442,0.00001309786,0.00002953421,0.00112835,0.000009157547,0.002256416],"genre_scores_gemma":[0.998912,0.0003275687,0.00009764394,0.00003531024,0.000002733944,0.0000070353,0.0003497428,0.000003236801,0.0002646703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01571465,"threshold_uncertainty_score":0.1140183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354157358756813,"score_gpt":0.3872711155264766,"score_spread":0.3637295419389085,"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."}}