{"id":"W2057746981","doi":"10.1136/ip.6.1.9","title":"Youth injury data in the Canadian Hospitals Injury Reporting and Prevention Program: do they represent the Canadian experience?","year":2000,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Kingston General Hospital; Queen's University","funders":"Health Canada; Queen's University; World Health Organization","keywords":"Injury prevention; Occupational safety and health; Poison control; Suicide prevention; Human factors and ergonomics; Forensic engineering; Medical emergency; Injury surveillance; Medicine; Engineering; Environmental health","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":[0.007006615,0.000444215,0.0006203342,0.004416489,0.0032105,0.00333028,0.00226698,0.0005118416,0.002936949],"category_scores_gemma":[0.0323439,0.0004661566,0.0005851416,0.01793214,0.001106997,0.001302943,0.002108659,0.0008762117,0.0003739596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04157997,"about_ca_system_score_gemma":0.06721443,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963205,"about_ca_topic_score_gemma":0.9972991,"domain_scores_codex":[0.9877337,0.001111172,0.0008349958,0.001047276,0.007285904,0.001986955],"domain_scores_gemma":[0.9742786,0.001717795,0.00521528,0.0009396569,0.01598393,0.001864662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005824457,0.00001342135,0.9805214,0.0001132278,0.0000689011,0.00003676874,0.001477774,0.000101916,0.00004801886,0.0003189514,0.005606973,0.01163428],"study_design_scores_gemma":[0.000004855408,0.00001081321,0.9920022,0.00011346,0.00003620547,0.000040674,0.002501274,0.000258183,0.00005292645,0.00003765621,0.004925261,0.00001650611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8793884,0.008480647,0.001476369,0.0129965,0.0002092276,0.0003141363,0.06189567,0.0001143722,0.03512468],"genre_scores_gemma":[0.9809979,0.002702711,0.0008888205,0.0006934484,0.00003957342,0.00007097705,0.01313635,0.00002881483,0.001441419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04157997,"threshold_uncertainty_score":0.3016852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07396155877910908,"score_gpt":0.4028794567357372,"score_spread":0.3289178979566281,"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."}}