{"id":"W2562221324","doi":"10.1007/s00256-016-2559-4","title":"3D-MR vs. 3D-CT of the shoulder in patients with glenohumeral instability","year":2016,"lang":"en","type":"article","venue":"Skeletal Radiology","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Medicine; Nuclear medicine; Shoulders; Orthopedic surgery; Radiology; Subtraction; Surgery; 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":[0.0001131928,0.0001512509,0.0003664494,0.00005502257,0.00003156938,0.000001291468,0.0001061374,0.00007136864,0.0002399693],"category_scores_gemma":[0.0001198888,0.00006517715,0.00007876896,0.0001378849,0.0004204836,0.00005009017,0.00004648799,0.0001373643,0.000010981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001157019,"about_ca_system_score_gemma":0.00008887557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005081008,"about_ca_topic_score_gemma":0.00006503309,"domain_scores_codex":[0.9989063,0.0001358852,0.0002604564,0.0002722186,0.0001588554,0.0002663439],"domain_scores_gemma":[0.9992324,0.0001307264,0.00008044521,0.0004469829,0.00005059936,0.00005886103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006911984,0.0004482251,0.9818082,0.00002189733,0.00008886879,0.00001195326,0.00007484672,0.000001238999,0.0002893745,0.0002299338,0.00008593816,0.0162483],"study_design_scores_gemma":[0.004787073,0.001406085,0.9900511,0.00003900821,0.00008641373,0.00003155258,0.000008677262,0.000001655801,0.00182529,0.0001316375,0.001548177,0.00008335926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996767,0.00007514157,0.00001905742,0.001064266,0.0001913041,0.0005013561,0.00002278292,0.00001689585,0.001342226],"genre_scores_gemma":[0.9992675,0.000007728052,0.0001447302,0.0002788032,0.0000383699,0.00002717609,0.00001021687,0.00001341198,0.0002120333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01616494,"threshold_uncertainty_score":0.2657847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025580594126429,"score_gpt":0.2622274063240015,"score_spread":0.2519716003827372,"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."}}