{"id":"W4321487351","doi":"10.1016/j.ocarto.2023.100348","title":"Radiographically detectable intra-articular mineralization: Predictor of knee osteoarthritis outcomes or only an indicator of aging? A brief report from the osteoarthritis initiative","year":2023,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage Open","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; GlaxoSmithKline; National Institute on Aging; National Institutes of Health; Novartis Pharmaceuticals Corporation; Pfizer","keywords":"Osteoarthritis; Medicine; Radiography; Confidence interval; Hazard ratio; Odds ratio; Proportional hazards model; Logistic regression; Internal medicine; Physical therapy; Surgery; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008091908,0.0005671908,0.001503551,0.0003115419,0.0003573574,0.0002403027,0.0004889951,0.0003236864,0.0007048122],"category_scores_gemma":[0.0004304156,0.0004353134,0.0003427751,0.001208319,0.0005592291,0.000966754,0.0004770456,0.0003166834,0.00002116911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003525089,"about_ca_system_score_gemma":0.0004789263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004211959,"about_ca_topic_score_gemma":0.005386765,"domain_scores_codex":[0.9955241,0.0003694961,0.001460602,0.001012156,0.0009119223,0.0007217237],"domain_scores_gemma":[0.9967977,0.0003932288,0.0006572268,0.001242758,0.0003860701,0.0005229834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0033596,0.001097777,0.3333081,0.0003446695,0.0004822742,0.0103062,0.009146823,0.000005751869,0.1701398,0.001883535,0.001869926,0.4680555],"study_design_scores_gemma":[0.1361819,0.1009596,0.2070276,0.009302322,0.003980041,0.008011372,0.01751419,0.00005389132,0.4760764,0.004729595,0.03233636,0.003826831],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989241,0.00371278,0.00003059607,0.0008018946,0.000370908,0.003159625,0.001285418,0.000167538,0.001230263],"genre_scores_gemma":[0.9950485,0.0005795344,0.0008792923,0.0006362755,0.0002064681,0.0005060903,0.001174648,0.0001158185,0.0008534301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4642287,"threshold_uncertainty_score":0.9998099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816904426638851,"score_gpt":0.2682016524100828,"score_spread":0.2500326081436943,"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."}}