{"id":"W4412867630","doi":"10.5662/wjm.v15.i4.105493","title":"Machine learning for patient selection in corticosteroid decision making in knee osteoarthritis: A feasibility model","year":2025,"lang":"en","type":"article","venue":"World Journal of Methodology","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Osteoarthritis; Corticosteroid; Selection (genetic algorithm); Medicine; Physical therapy; Computer science; Machine learning; Physical medicine and rehabilitation; Surgery; 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02798646,0.001365918,0.001666263,0.002077814,0.0008025442,0.00201655,0.001740021,0.002207495,0.002979494],"category_scores_gemma":[0.05867926,0.0007497412,0.001584322,0.001109502,0.001059544,0.001479086,0.001844944,0.002721679,0.0006062716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733652,"about_ca_system_score_gemma":0.003120986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109872,"about_ca_topic_score_gemma":0.004789914,"domain_scores_codex":[0.9913281,0.007094207,0.000253792,0.0005642593,0.0004516497,0.000308019],"domain_scores_gemma":[0.909994,0.08452667,0.001778693,0.0006680426,0.002382532,0.0006499796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002276305,0.0007140477,0.05917409,0.0001646246,0.0004282428,0.0003736263,0.000225187,0.8535725,0.0002700338,0.005366109,0.001909936,0.07552535],"study_design_scores_gemma":[0.00008339426,0.0001320757,0.001202725,0.0000230821,0.00002758088,0.00004093065,0.00001857691,0.9958246,0.00005087677,0.002457352,0.0001272756,0.00001152218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4059071,0.001399859,0.5760806,0.00925798,0.0001968921,0.001700656,0.0008900773,0.0006972491,0.003869623],"genre_scores_gemma":[0.9207553,0.0002929943,0.07510331,0.000552127,0.0001806923,0.00110327,0.0004475536,0.00003098571,0.001533833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02798646,"threshold_uncertainty_score":0.1480083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06812854200856058,"score_gpt":0.3729394889065807,"score_spread":0.3048109468980201,"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."}}