{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007862183,0.0006743222,0.0009152296,0.001533783,0.0003590361,0.001114963,0.0005312099,0.001261435,0.003000819],"category_scores_gemma":[0.005418788,0.0003450884,0.0008470374,0.0009001949,0.0006171156,0.00146272,0.0006589135,0.0006437473,0.0006468118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003772122,"about_ca_system_score_gemma":0.0003004719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0022301,"about_ca_topic_score_gemma":0.00304665,"domain_scores_codex":[0.9995147,0.0001237302,0.00009416507,0.00005637146,0.00009045254,0.0001206536],"domain_scores_gemma":[0.9990596,0.0005342204,0.0001637435,0.00004997239,0.00008437985,0.0001081465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02522247,0.0009110203,0.8375144,0.0004463015,0.0004076403,0.01334998,0.0006145697,0.003563916,0.007361377,0.0003012533,0.001235565,0.1090714],"study_design_scores_gemma":[0.0006064039,0.007719828,0.9416798,0.0002728767,0.001142308,0.03433849,0.00214693,0.007175942,0.002419787,0.0008663629,0.001506475,0.0001247965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920264,0.004220574,0.0004110913,0.0003500109,0.00008311756,0.0000217319,0.0001795714,0.00001739726,0.002689988],"genre_scores_gemma":[0.9984272,0.0008329394,0.0002754404,0.00009259848,0.00009460023,0.000008215432,0.00009446427,0.000005370514,0.0001692845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003000819,"threshold_uncertainty_score":0.01003873,"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."}}