{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008849821,0.000326914,0.0004590248,0.0003271418,0.001047767,0.0002103691,0.0006414205,0.0004275935,0.0004710389],"category_scores_gemma":[0.001278145,0.0002247539,0.0001729393,0.0004994294,0.0002819865,0.0006078289,0.0001058886,0.000892241,0.00004689513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003631843,"about_ca_system_score_gemma":0.001058282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5414557,"about_ca_topic_score_gemma":0.8509691,"domain_scores_codex":[0.994958,0.001301906,0.001574662,0.0008878493,0.0004674149,0.0008101023],"domain_scores_gemma":[0.9968325,0.00009366404,0.0007030473,0.001916778,0.0001116224,0.0003423978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000572979,0.0002840103,0.2224265,0.00008626638,0.0001627568,0.00007623972,0.01094223,0.000004480913,0.0001129196,0.00123869,0.006284544,0.7578084],"study_design_scores_gemma":[0.00103686,0.002088399,0.8982969,0.001056017,0.0006092892,0.0003518497,0.004931785,0.0002864356,0.0003160284,0.03582379,0.0543645,0.0008381775],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800419,0.00045091,0.000008404808,0.004542303,0.000340185,0.003187708,0.0001293002,0.00007190781,0.01122742],"genre_scores_gemma":[0.9950264,0.0002429898,0.0004084187,0.0008921406,0.0003140577,0.0003909883,0.0008904412,0.00003278001,0.001801753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7569702,"threshold_uncertainty_score":0.9165198,"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."}}