{"id":"W4283787041","doi":"10.1016/j.jseint.2022.06.003","title":"Correlation between superior humeral head migration and proximal long head of biceps tendon pathology in patients with and without rotator cuff tears using magnetic resonance imaging and radiography","year":2022,"lang":"en","type":"article","venue":"JSES International","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Rotator cuff; Medicine; Tears; Tendon; Magnetic resonance imaging; Biceps; Shoulders; Rotator cuff injury; Biceps tendon; Tendinopathy; Radiology; Anatomy; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009081866,0.00009909233,0.0001748855,0.0002550149,0.00007070758,0.00001396791,0.00002334567,0.0000221073,0.00001895031],"category_scores_gemma":[0.00001618401,0.00008813733,0.00001797853,0.0001130208,0.0001194547,0.0001399348,0.0000447249,0.0001177452,7.230739e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006221692,"about_ca_system_score_gemma":0.00002700669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002276731,"about_ca_topic_score_gemma":0.00006764526,"domain_scores_codex":[0.9991986,0.00005208415,0.0002060996,0.0002229501,0.0002201466,0.0001001863],"domain_scores_gemma":[0.9997393,0.00003112464,0.00007840984,0.00006247134,0.00005262461,0.00003604876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006898164,0.0001323803,0.9856222,0.00001596432,0.00002239763,0.00001707142,0.0005253106,0.00001391942,0.0002347759,0.00003005713,0.000002910205,0.01269315],"study_design_scores_gemma":[0.003985944,0.0007531894,0.9919997,0.00006733582,0.00007960996,0.0001383526,0.0001164558,0.002505566,0.0001482174,0.0000447671,0.00008388586,0.00007697615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978997,0.001187946,0.00008888617,0.0002529689,0.00007139413,0.0004081081,0.00006101384,0.000009686258,0.00002029934],"genre_scores_gemma":[0.9983311,0.00002140434,0.001403982,0.00006037378,0.0000292725,0.00003243696,0.00009125833,0.00001100325,0.00001918589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01261617,"threshold_uncertainty_score":0.3594136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260753445837574,"score_gpt":0.2879064343070005,"score_spread":0.2752988998486247,"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."}}