{"id":"W4320056841","doi":"10.1136/bjsports-2022-106510","title":"OPTIKNEE – optimising knee health after injury","year":2022,"lang":"en","type":"article","venue":"British Journal of Sports Medicine","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Canada; University of Calgary; University of British Columbia","funders":"","keywords":"Medicine","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":[0.0008157347,0.0002916007,0.0003996918,0.0005738026,0.0003769326,0.001125838,0.0003735135,0.0005694887,0.01063459],"category_scores_gemma":[0.002155894,0.0001019893,0.0006572683,0.0004437822,0.000279658,0.0006986773,0.001009322,0.0007458672,0.001123748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000426916,"about_ca_system_score_gemma":0.0008616183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670004,"about_ca_topic_score_gemma":0.003601739,"domain_scores_codex":[0.9994867,0.00009829179,0.00005341275,0.00005031402,0.0001638166,0.0001474412],"domain_scores_gemma":[0.9993851,0.0001595556,0.000183516,0.00003316241,0.00009901287,0.0001396234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005892972,0.004290746,0.04532043,0.002256569,0.0006123664,0.0003291833,0.0006311185,0.0011209,0.005217632,0.0009203261,0.008641613,0.9247662],"study_design_scores_gemma":[0.002194464,0.02223427,0.8723454,0.004444998,0.001549774,0.005382119,0.003247516,0.002148302,0.007489262,0.005720609,0.07304176,0.0002014044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423832,0.02071266,0.002848391,0.004519245,0.001028039,0.0001794592,0.0004201555,0.0001470343,0.02776176],"genre_scores_gemma":[0.9782454,0.007602151,0.00381517,0.0008528116,0.0002720748,0.0001347344,0.0004171472,0.00002678394,0.008633676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01063459,"threshold_uncertainty_score":0.03557628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009579894059076334,"score_gpt":0.2669460733559637,"score_spread":0.2573661792968873,"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."}}