{"id":"W3153041738","doi":"10.1097/gox.0000000000003543","title":"Derivation and Internal Validation of a Prediction Model for Pediatric Hand Fracture Triage","year":2021,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Orthopedic Surgery and Rehabilitation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Medicine; Triage; Logistic regression; Pediatric trauma; Statistic; Deformity; Physical therapy; Surgery; Emergency medicine; Poison control; Statistics; Injury prevention; Internal medicine; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005152232,0.000142112,0.0004548023,0.0001099043,0.00009479962,0.00005896217,0.00004099234,0.0001316247,0.00006606529],"category_scores_gemma":[0.003933287,0.000129091,0.0001298741,0.0003002168,0.0001100075,0.000412525,0.00005419576,0.00009233077,0.000001109517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008655478,"about_ca_system_score_gemma":0.0005574684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001980447,"about_ca_topic_score_gemma":0.0000064541,"domain_scores_codex":[0.9986789,0.00009278573,0.0005374793,0.0003426597,0.000192954,0.0001552537],"domain_scores_gemma":[0.9973324,0.001630858,0.0002950145,0.0001316263,0.0005044176,0.000105674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001593054,0.0001988411,0.9610916,0.0003807661,0.0001739002,0.000008443517,0.0002407089,0.0005384037,0.001383959,0.0002580681,0.0008895197,0.03324271],"study_design_scores_gemma":[0.005347013,0.0004227292,0.9171836,0.0006671914,0.001048277,0.0006349643,0.0008371068,0.04967813,0.01493012,0.008350659,0.0004672003,0.0004329659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9173317,0.000141692,0.08031856,0.0001560911,0.0007579523,0.000584555,0.0003430641,0.00001490857,0.0003514658],"genre_scores_gemma":[0.9944908,0.0000726045,0.004742957,0.00005928762,0.0001747566,0.00005625866,0.0002910567,0.00001041376,0.0001018346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07715912,"threshold_uncertainty_score":0.5264179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421806134731255,"score_gpt":0.2855246982091902,"score_spread":0.2613066368618776,"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."}}