{"id":"W4220815442","doi":"10.1016/j.joca.2022.02.367","title":"VALIDATING A SEMI-AUTOMATED ULTRASOUND TECHNIQUE FOR SEGMENTING FEMORAL ARTICULAR CARTILAGE","year":2022,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cartilage; Medicine; Ultrasound; Osteoarthritis; Anterior cruciate ligament; Articular cartilage; Radiology; ACL injury; Ligament; Ultrasound imaging; Anatomy; Pathology","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":[0.004354565,0.0006499044,0.0005501715,0.00173141,0.0004504738,0.001762472,0.00145162,0.002574584,0.002186951],"category_scores_gemma":[0.01004303,0.0005477684,0.0006457228,0.0006922959,0.0006319953,0.0008757439,0.001010951,0.0005324114,0.001587339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004045343,"about_ca_system_score_gemma":0.001405896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004500558,"about_ca_topic_score_gemma":0.007653989,"domain_scores_codex":[0.9969651,0.000801474,0.0002556725,0.0005952452,0.00118357,0.0001989672],"domain_scores_gemma":[0.9911476,0.003003335,0.0006329936,0.001018784,0.00401258,0.0001846158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009511462,0.0003598033,0.02839316,0.0006310455,0.0002929538,0.0002899871,0.0005423187,0.03117518,0.6056207,0.0008926538,0.001842412,0.3290087],"study_design_scores_gemma":[0.0001432734,0.001578405,0.08942483,0.0001916034,0.0003664258,0.003155022,0.0006045493,0.6007696,0.2935651,0.001029185,0.008956192,0.0002157644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2610059,0.0006332485,0.7322462,0.0001272842,0.0001686917,0.0004020394,0.0005841901,0.003434584,0.001397923],"genre_scores_gemma":[0.4916489,0.0002599494,0.504833,0.0001512671,0.00004397406,0.0001897213,0.0008816235,0.000349973,0.001641492],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004500558,"threshold_uncertainty_score":0.02302945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0087388272166793,"score_gpt":0.2534990880312494,"score_spread":0.2447602608145701,"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."}}