{"id":"W2594658090","doi":"10.24095/hpcdp.37.1.03","title":"At-a-glance - Emergency department surveillance of thermal burns and scalds, electronic Canadian Hospitals Injury Reporting and Prevention Program, 2013","year":2017,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Public Health Agency of Canada","funders":"","keywords":"Medicine; Emergency department; Medical emergency; Injury surveillance; Emergency medicine; Occupational safety and health; Stove; Injury prevention; Poison control; Environmental health; Pathology; Nursing; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008697212,0.0003786561,0.0002459452,0.002362963,0.001665894,0.000800973,0.001287025,0.0002498914,0.007071254],"category_scores_gemma":[0.004252248,0.0002341309,0.000316583,0.003488657,0.000314545,0.0003838222,0.0007524109,0.0006098075,0.0009035806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02814553,"about_ca_system_score_gemma":0.05411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9892211,"about_ca_topic_score_gemma":0.9945756,"domain_scores_codex":[0.9989624,0.00006255366,0.00008208325,0.00008519572,0.000581035,0.0002267191],"domain_scores_gemma":[0.9961323,0.00008066846,0.0005146787,0.00005621613,0.002522293,0.000693912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000276254,0.0002295813,0.5812564,0.0008173848,0.0001017366,0.0001806228,0.0005490494,0.0006691952,0.0004115921,0.0005061569,0.2892714,0.1257306],"study_design_scores_gemma":[0.0000288827,0.00002892504,0.9770203,0.0002564999,0.00003270854,0.00008674412,0.0004636618,0.0004350637,0.0002164296,0.00006317772,0.02135222,0.00001547902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3598376,0.01132837,0.00413737,0.01755678,0.0005295338,0.003417999,0.4700786,0.001911664,0.1312021],"genre_scores_gemma":[0.8103017,0.01226532,0.01176153,0.003971442,0.000225561,0.001002778,0.1237028,0.0001675248,0.03660125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02814553,"threshold_uncertainty_score":0.2042111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168548080931632,"score_gpt":0.3434765225971981,"score_spread":0.3217910417878818,"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."}}