{"id":"W4417480803","doi":"10.1016/j.jval.2025.09.1188","title":"EPH59 Development and Validation of a Case Identification Algorithm for Hand Trauma Patients Using Health Administrative Data and the Epidemiology of Hand Trauma in a Universal Healthcare System","year":2025,"lang":"en","type":"article","venue":"Value in Health","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; McMaster University; University of Toronto","funders":"","keywords":"Medical diagnosis; Epidemiology; Identification (biology); Healthcare system; Health care; Public health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01468161,0.0005308166,0.0008722047,0.003956005,0.0007268054,0.003106764,0.001321276,0.001014661,0.00248782],"category_scores_gemma":[0.03537374,0.0005188623,0.00113343,0.002021997,0.0003399345,0.001520007,0.002186667,0.0009457281,0.0008293031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009837563,"about_ca_system_score_gemma":0.00284667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004318004,"about_ca_topic_score_gemma":0.004146433,"domain_scores_codex":[0.9901627,0.003467487,0.002352302,0.001346277,0.002146896,0.0005243422],"domain_scores_gemma":[0.9826154,0.007470461,0.002746164,0.001623514,0.005045495,0.0004990013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005552567,0.0005218195,0.9120273,0.0001374976,0.0003548911,0.0001850712,0.0002395047,0.003940346,0.002368019,0.001335885,0.004155941,0.07417849],"study_design_scores_gemma":[0.0004744511,0.0005455787,0.7551261,0.0003957437,0.0003889122,0.001236723,0.0008041231,0.2198163,0.009146567,0.002336738,0.009665649,0.00006302061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9281189,0.0004756844,0.05828628,0.001303579,0.0001871084,0.001536773,0.00524561,0.000415926,0.004430094],"genre_scores_gemma":[0.8714888,0.0002667882,0.1167826,0.0003172149,0.0001099854,0.0007663686,0.009277998,0.0000855625,0.0009046898],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01468161,"threshold_uncertainty_score":0.07764471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2207098430597351,"score_gpt":0.4256360483483085,"score_spread":0.2049262052885734,"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."}}