{"id":"W2094309016","doi":"10.1007/s00167-013-2745-z","title":"Association between pre‐operative magnetic resonance imaging and reparability of large and massive rotator cuff tears","year":2013,"lang":"en","type":"article","venue":"Knee Surgery Sports Traumatology Arthroscopy","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Women's College Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Rotator cuff; Medicine; Tears; Magnetic resonance imaging; Supraspinatus muscle; Surgery; Tendon; Acromion; Coronal plane; Anatomy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000474126,0.0002249881,0.0008182843,0.0001220114,0.0001244777,0.00001605363,0.00002473262,0.0001618566,0.0003921605],"category_scores_gemma":[0.0002158028,0.00020067,0.00008644335,0.0001312189,0.000251911,0.0002228824,0.00003262205,0.0001964525,0.000008383358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000589878,"about_ca_system_score_gemma":0.00009425732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001002476,"about_ca_topic_score_gemma":0.00001683256,"domain_scores_codex":[0.9982111,0.0001277004,0.0005839841,0.0004706735,0.0002204459,0.0003861119],"domain_scores_gemma":[0.9986153,0.0005298739,0.0002644378,0.0002867756,0.0001459976,0.0001575657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001210647,0.0001591435,0.9871477,0.00007422968,0.00007689441,0.00005356401,0.0007012789,1.169613e-7,0.0001360226,0.00007950341,0.001160659,0.01028981],"study_design_scores_gemma":[0.001018249,0.0001515922,0.9899187,0.0001142427,0.0002286679,0.00008142235,0.0002490474,0.00003258948,0.006318795,0.0005481614,0.001189025,0.0001495111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932753,0.004309898,0.00001417949,0.001097735,0.0001531254,0.000795068,0.00004659079,0.00005548227,0.000252604],"genre_scores_gemma":[0.9985642,0.0002941108,0.0005236336,0.0001595948,0.00002802144,0.0001075137,0.0000332477,0.00002023609,0.0002693904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0101403,"threshold_uncertainty_score":0.8183084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005133681208457,"score_gpt":0.2875468159522955,"score_spread":0.2774954791402109,"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."}}