{"id":"W4382319878","doi":"10.1093/jbcr/irad045.212","title":"737 Burn Data Management and Usage Across Canada: A Nationwide Survey","year":2023,"lang":"en","type":"article","venue":"Journal of Burn Care & Research","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Benchmarking; Descriptive statistics; Data collection; Data quality; Burn center; Thematic analysis; Population; Medical emergency; Quality management; Burn injury; Qualitative property; Family medicine; Environmental health; Qualitative research; Operations management; Poison control; Surgery; Management system","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":[0.002632921,0.0002302557,0.0003675675,0.003998962,0.004172417,0.00223233,0.001413344,0.000397342,0.003722656],"category_scores_gemma":[0.009989935,0.0004528655,0.0004436338,0.01305348,0.0008968047,0.0008258601,0.001783979,0.0008453965,0.0006811643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04905061,"about_ca_system_score_gemma":0.112879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923154,"about_ca_topic_score_gemma":0.9947461,"domain_scores_codex":[0.9939176,0.000481171,0.0005205584,0.0005040886,0.00349805,0.001078591],"domain_scores_gemma":[0.9797254,0.001469694,0.003283102,0.0004943652,0.0111249,0.003902474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004418496,0.00008702671,0.9613626,0.0002948423,0.00003526975,0.0001148755,0.002908331,0.000131792,0.0002099562,0.0002190906,0.01353433,0.02105782],"study_design_scores_gemma":[0.000003468609,0.00002140026,0.9887413,0.0001165947,0.00001020843,0.00003931692,0.005425558,0.0002109188,0.00006557186,0.0000173991,0.005334212,0.00001414703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8990495,0.001685813,0.0005003309,0.003151146,0.00002530189,0.0008176785,0.08119846,0.0001251463,0.01344676],"genre_scores_gemma":[0.9743279,0.00230534,0.001750128,0.001319316,0.00001455042,0.0004183286,0.01623445,0.00003455312,0.003595393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04905061,"threshold_uncertainty_score":0.3558888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1865051672431561,"score_gpt":0.454783876373579,"score_spread":0.268278709130423,"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."}}