{"id":"W2977588216","doi":"10.1055/s-0039-1697902","title":"The REVision Using Imaging to Guide Staging and Evaluation (REVISE) in ACL Reconstruction Classification","year":2019,"lang":"en","type":"article","venue":"The Journal of Knee Surgery","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fowler Kennedy Sport Medicine Clinic; Western University; McMaster University","funders":"National Institute of General Medical Sciences","keywords":"Medicine; Anterior cruciate ligament; Confidence interval; Orthopedic surgery; Intraclass correlation; Anterior cruciate ligament reconstruction; Sports medicine; Evidence-based medicine; Medical physics; Radiology; Physical therapy; Surgery","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":[0.03974454,0.0007190055,0.0006342394,0.003874425,0.0007646333,0.00259933,0.001708919,0.0008220322,0.0007035271],"category_scores_gemma":[0.08764994,0.0004780429,0.0008216454,0.001397,0.002439197,0.001914931,0.003307945,0.001045271,0.0007068547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009880094,"about_ca_system_score_gemma":0.002430591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001795125,"about_ca_topic_score_gemma":0.004984651,"domain_scores_codex":[0.9732683,0.0150502,0.004958319,0.001200336,0.004732043,0.0007907344],"domain_scores_gemma":[0.9198995,0.02918029,0.01590009,0.009073891,0.02464141,0.001304795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001231817,0.0004066485,0.6285524,0.001103484,0.0001483873,0.0006501001,0.01027921,0.001641358,0.01412609,0.00256187,0.005340856,0.3339578],"study_design_scores_gemma":[0.0002288183,0.005116235,0.8744028,0.001655447,0.0004201594,0.01232458,0.01587497,0.02945816,0.02530757,0.004975105,0.02975838,0.0004776807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8407205,0.002020272,0.1358829,0.00179267,0.0008415125,0.003190433,0.0004402212,0.0005800315,0.01453146],"genre_scores_gemma":[0.8287359,0.0006332127,0.1676274,0.0002705237,0.0001859431,0.0008974788,0.0003070236,0.00007497965,0.001267521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03974454,"threshold_uncertainty_score":0.2101917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03266928576339692,"score_gpt":0.3369938886148495,"score_spread":0.3043246028514526,"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."}}