{"id":"W4404107887","doi":"10.1148/ryai.240334","title":"RSNA 2023 Abdominal Trauma AI Challenge: Review and Outcomes","year":2024,"lang":"en","type":"article","venue":"Radiology Artificial Intelligence","topic":"Abdominal Trauma and Injuries","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Vancouver General Hospital; North York General Hospital; Sunnybrook Health Science Centre; University of Toronto; St. Michael's Hospital","funders":"St. Michael's Hospital Foundation","keywords":"Medicine; Receiver operating characteristic; Extravasation; Radiology; Artificial intelligence; Nuclear medicine; Internal medicine; Computer science; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005021519,0.0006566172,0.001805509,0.004381689,0.0004066128,0.002193789,0.001820658,0.001943599,0.005701651],"category_scores_gemma":[0.02176226,0.0004259617,0.001574479,0.004047537,0.0007853493,0.002445584,0.001528348,0.001995215,0.002096068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001754915,"about_ca_system_score_gemma":0.007516565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004120116,"about_ca_topic_score_gemma":0.008214676,"domain_scores_codex":[0.9984825,0.0003459314,0.0004860878,0.0001658041,0.0004324324,0.00008719372],"domain_scores_gemma":[0.9777173,0.01315081,0.002287204,0.0003599222,0.005891628,0.0005930533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002570793,0.00005043437,0.001072954,0.08674349,0.0007857232,0.0001760113,0.0001350323,0.0004282492,0.0003793419,0.00404614,0.1024299,0.8034956],"study_design_scores_gemma":[0.00005971255,0.0001708346,0.003053546,0.1300002,0.002238224,0.001144342,0.0002727516,0.0002520467,0.0004786045,0.004271703,0.8579876,0.00007041974],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001892148,0.9929737,0.0002769182,0.004482442,0.000649981,0.00002103359,0.000140554,0.00001462719,0.001251546],"genre_scores_gemma":[0.002275795,0.9922903,0.0006888449,0.003195362,0.0008373994,0.00004327477,0.0002877891,0.00001298075,0.0003681192],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005701651,"threshold_uncertainty_score":0.02655661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06355374889793619,"score_gpt":0.386173024129926,"score_spread":0.3226192752319899,"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."}}