{"id":"W4385269880","doi":"10.1016/j.burns.2023.07.003","title":"Burn data management and usage across Canada","year":2023,"lang":"en","type":"article","venue":"Burns","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Benchmarking; Respondent; Medicine; Data collection; Descriptive statistics; Data quality; Burn center; Thematic analysis; Burn injury; Medical emergency; Qualitative property; Family medicine; Operations management; Qualitative research; Poison control; Statistics; Surgery","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":[0.006293798,0.0003118454,0.0004596817,0.008077618,0.004195778,0.006561281,0.002554686,0.0006610237,0.009443717],"category_scores_gemma":[0.04430883,0.0005869662,0.0007653667,0.01758509,0.001636173,0.002098059,0.002477854,0.001724524,0.001008405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09667148,"about_ca_system_score_gemma":0.2421609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940289,"about_ca_topic_score_gemma":0.9923025,"domain_scores_codex":[0.9863709,0.001467872,0.001304082,0.001247713,0.006927907,0.002681404],"domain_scores_gemma":[0.9056627,0.01234386,0.006288891,0.00307522,0.05627339,0.01635598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000454095,0.000267718,0.5851005,0.0006686978,0.0002749553,0.0004665966,0.004405294,0.002500891,0.0009652427,0.01308303,0.1843008,0.2075121],"study_design_scores_gemma":[0.0000576946,0.00008396517,0.7365754,0.001176159,0.0001280735,0.0004047221,0.008866507,0.004036425,0.001064901,0.001268017,0.2461725,0.0001655438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5455257,0.01954444,0.005050658,0.07734701,0.0009738188,0.00113021,0.1502596,0.002849014,0.1973196],"genre_scores_gemma":[0.9174785,0.008765208,0.005010496,0.007290292,0.0001374816,0.0002224968,0.03187672,0.0006368769,0.02858189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09667148,"threshold_uncertainty_score":0.701404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05407518746578072,"score_gpt":0.3291543310992502,"score_spread":0.2750791436334695,"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."}}