{"id":"W4411411404","doi":"10.1016/j.ard.2025.05.992","title":"POS0612 HOW DO WE PREDICT TREATMENT RESPONSE IN OSTEOARTHRITIS ANALYSIS OF A COHORT STUDY IN PEOPLE WITH KNEE OSTEOARTHRITIS","year":2025,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Osteoarthritis; Cohort; Physical therapy; Cohort study; Internal medicine; Alternative medicine; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008324793,0.0006364086,0.00186727,0.00113954,0.000698706,0.002110651,0.00116695,0.001982528,0.004796426],"category_scores_gemma":[0.0196732,0.0004980956,0.005981784,0.002770086,0.000486947,0.001375274,0.001001978,0.001931386,0.0007648297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004204912,"about_ca_system_score_gemma":0.0005691783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003666561,"about_ca_topic_score_gemma":0.00436482,"domain_scores_codex":[0.9910486,0.004962977,0.001157194,0.001461928,0.0009275971,0.0004416654],"domain_scores_gemma":[0.9862978,0.00543151,0.004548363,0.001624925,0.001032384,0.00106503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003373102,0.000123116,0.9862948,0.0002880615,0.005269117,0.00006392189,0.00006472505,0.0002423753,0.0001039459,0.00008859158,0.0008163856,0.00327183],"study_design_scores_gemma":[0.0007046552,0.001196228,0.9894438,0.0001638862,0.004623367,0.0002264021,0.0001817089,0.001564813,0.00007703466,0.000367472,0.001415962,0.00003452244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738587,0.01203802,0.001215073,0.001672196,0.0004737979,0.0001993785,0.008076828,0.00003209099,0.002434008],"genre_scores_gemma":[0.9945798,0.0008522713,0.0006843185,0.0003716584,0.0002162733,0.0001699022,0.002522312,0.00001487608,0.0005885144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008324793,"threshold_uncertainty_score":0.0440262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436999791151294,"score_gpt":0.2817606419282791,"score_spread":0.2673906440167662,"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."}}