{"id":"W4220827107","doi":"10.1002/jum.15975","title":"Medial Meniscal Extrusion Evaluation With Weight‐Bearing Ultrasound","year":2022,"lang":"en","type":"article","venue":"Journal of Ultrasound in Medicine","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"Schweizerische Gesellschaft für Radiologie; Gottfried und Julia Bangerter-Rhyner-Stiftung; Freiwillige Akademische Gesellschaft; Universität Basel","keywords":"Medicine; Supine position; Medial meniscus; Magnetic resonance imaging; Meniscus; Intraclass correlation; Weight-bearing; Ultrasound; Tears; Nuclear medicine; Anatomy; Surgery; Radiology; Osteoarthritis; Pathology; Incidence (geometry)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003291998,0.0001776414,0.0006482878,0.0006519837,0.0001819835,0.00001214146,0.000155892,0.00007463827,0.005684645],"category_scores_gemma":[0.0007807551,0.0001141393,0.0001043346,0.0005261659,0.0002667716,0.0001807994,0.00002902863,0.0009582864,0.000001376787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004684268,"about_ca_system_score_gemma":0.0003678538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004358599,"about_ca_topic_score_gemma":0.00001140023,"domain_scores_codex":[0.9966436,0.0002081545,0.000989709,0.0001914229,0.001729315,0.0002377896],"domain_scores_gemma":[0.9981109,0.0005373586,0.0006273551,0.0001976889,0.0003518709,0.0001747969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.008444901,0.001246329,0.3305846,0.0002540569,0.0005682927,0.0008302339,0.008105768,0.0004705917,0.5169924,0.001173633,0.03823509,0.09309401],"study_design_scores_gemma":[0.05566297,0.04031345,0.3546859,0.003654393,0.003060288,0.1922985,0.03675203,0.000626653,0.03678939,0.01158878,0.263104,0.001463657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889312,0.001140952,0.0006940641,0.002438217,0.001208933,0.0004007405,0.000003128378,0.00002775823,0.005155008],"genre_scores_gemma":[0.9935077,0.0006706897,0.003916792,0.0003770823,0.001261229,0.00002130958,0.00001560517,0.00002652482,0.0002030427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.480203,"threshold_uncertainty_score":0.9952243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658972603126883,"score_gpt":0.3024237834150948,"score_spread":0.2858340573838259,"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."}}