{"id":"W4403683884","doi":"10.1148/ryai.240101","title":"The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset","year":2024,"lang":"en","type":"article","venue":"Radiology Artificial Intelligence","topic":"Pelvic and Acetabular Injuries","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"National Cancer Institute","keywords":"Medicine; Radiology","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":[0.001146912,0.003145266,0.002194619,0.003874791,0.001212328,0.002105494,0.004280815,0.003741224,0.02006231],"category_scores_gemma":[0.004852511,0.0005904884,0.002442705,0.00331756,0.0007015958,0.0008400977,0.002705587,0.002172358,0.03158537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522411,"about_ca_system_score_gemma":0.00281166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02525489,"about_ca_topic_score_gemma":0.05525683,"domain_scores_codex":[0.9985893,0.0002421773,0.0001654365,0.0003886753,0.0003813289,0.000233073],"domain_scores_gemma":[0.998607,0.000332195,0.0001203559,0.000324269,0.0004084199,0.0002077733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004289618,0.0001593871,0.004299759,0.00150702,0.0002703973,0.0005033278,0.00004485727,0.001708986,0.001084915,0.0005034651,0.9705763,0.01891262],"study_design_scores_gemma":[0.001011913,0.0003618689,0.02977696,0.0015369,0.0006184782,0.0057048,0.0003745861,0.01286971,0.004938283,0.003930188,0.9386262,0.0002501194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007190061,0.002422727,0.001244777,0.0006766102,0.0003174458,0.000237323,0.9814368,0.002512746,0.003961594],"genre_scores_gemma":[0.004190718,0.0003241045,0.001263801,0.0002053052,0.00006574675,0.0001526238,0.9926831,0.000135589,0.0009789591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02525489,"threshold_uncertainty_score":0.06711507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05125619236217202,"score_gpt":0.3619895124845062,"score_spread":0.3107333201223341,"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."}}