{"id":"W4309070773","doi":"10.1136/bjsports-2022-106299","title":"OPTIKNEE 2022: consensus recommendations to optimise knee health after traumatic knee injury to prevent osteoarthritis","year":2022,"lang":"en","type":"article","venue":"British Journal of Sports Medicine","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; Research Canada; University of Alberta; University of Calgary; University Health Network; University of British Columbia","funders":"Institute of Musculoskeletal Health and Arthritis; National Health and Medical Research Council; Michael Smith Health Research BC; Health Research Board; National Institutes of Health; Arthritis Society","keywords":"Osteoarthritis; Medicine; Physical therapy; Physical medicine and rehabilitation; Alternative medicine; Pathology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001815267,0.0002332166,0.00106021,0.0007830379,0.0003161893,0.00002644822,0.0001443723,0.00006503503,0.009995958],"category_scores_gemma":[0.0002054683,0.0002423724,0.0002303974,0.0006396277,0.0001325094,0.00006991075,0.0001169255,0.0008056695,0.000005773083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003804014,"about_ca_system_score_gemma":0.0004914704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001635512,"about_ca_topic_score_gemma":0.00001675582,"domain_scores_codex":[0.9962384,0.0001239395,0.001936149,0.0003065179,0.0009663173,0.0004286921],"domain_scores_gemma":[0.9975891,0.00005426266,0.0007272887,0.0002978585,0.0003653137,0.000966152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005512785,0.00024226,0.0002380361,0.00009048979,0.0000626371,0.001579417,0.0009464952,0.00002223774,0.00007541775,0.00001732196,0.1724155,0.8237589],"study_design_scores_gemma":[0.007659194,0.02758842,0.03449121,0.02438406,0.0005182839,0.1837075,0.01790536,0.00001501688,0.0005694388,0.0007901086,0.7014002,0.0009711917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8708788,0.0154434,0.000646787,0.1042874,0.004134345,0.002708527,0.0002856553,0.0001470789,0.001467988],"genre_scores_gemma":[0.9255554,0.00549357,0.03919458,0.02070894,0.001713004,0.0003659973,0.00007869167,0.0001390275,0.006750795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8227877,"threshold_uncertainty_score":0.990909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134769809985066,"score_gpt":0.293254206066673,"score_spread":0.2819065079668224,"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."}}