{"id":"W4390703965","doi":"10.1148/ryai.230088","title":"Vision Transformer–based Decision Support for Neurosurgical Intervention in Acute Traumatic Brain Injury: Automated Surgical Intervention Support Tool","year":2024,"lang":"en","type":"article","venue":"Radiology Artificial Intelligence","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; St. Michael's Hospital","funders":"St. Michael's Hospital Foundation","keywords":"Traumatic brain injury; Intervention (counseling); Decision support system; Medicine; Medical emergency; Physical medicine and rehabilitation; Physical therapy; Computer science; Nursing; Artificial intelligence; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001429242,0.0007641959,0.0007744948,0.002158422,0.0002597324,0.001161331,0.001090223,0.0005800464,0.001575744],"category_scores_gemma":[0.007572001,0.0002275832,0.0007199823,0.0006998082,0.0002686588,0.0008793715,0.0005659045,0.0005399434,0.0006816884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267372,"about_ca_system_score_gemma":0.001951486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412405,"about_ca_topic_score_gemma":0.0123849,"domain_scores_codex":[0.9992346,0.0001696325,0.00006763686,0.0001989337,0.0002531451,0.0000761201],"domain_scores_gemma":[0.9975237,0.001306845,0.0002975591,0.0001319689,0.0006034307,0.0001364577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001237201,0.0008247996,0.06943061,0.0002693631,0.0003319851,0.0005273678,0.0001122389,0.2604322,0.00614179,0.00211111,0.01694938,0.641632],"study_design_scores_gemma":[0.00003581638,0.0001030218,0.003137541,0.00001465885,0.0000261112,0.0001424304,0.00002031615,0.9921907,0.002126131,0.001379361,0.000810677,0.00001321556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4235596,0.001542617,0.5401787,0.002265989,0.0002427909,0.0005501313,0.003327914,0.02108104,0.007251414],"genre_scores_gemma":[0.9152811,0.0001846627,0.08217122,0.0002597004,0.00006570372,0.00008803295,0.001295417,0.00004651841,0.0006076047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01412405,"threshold_uncertainty_score":0.02808362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04336839606575149,"score_gpt":0.3834353266990043,"score_spread":0.3400669306332528,"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."}}