{"id":"W4388763465","doi":"10.1302/1358-992x.2023.16.023","title":"A PRECISION HEALTH APPROACH FOR OSTEOARTHRITIS: PREDICTION OF RAPID KNEE OSTEOARTHRITIS PROGRESSION USING AUTOMATED MACHINE LEARNING","year":2023,"lang":"en","type":"article","venue":"Orthopaedic Proceedings","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Osteoarthritis; Medicine; Disease; Clinical trial; Joint disease; Physical therapy; Physical medicine and rehabilitation; Alternative medicine; Internal 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":[0.008934994,0.001330314,0.001181423,0.003981654,0.0004503235,0.001925025,0.0009444305,0.001013171,0.001320734],"category_scores_gemma":[0.01386347,0.000333376,0.001386671,0.001615678,0.0006172745,0.000730731,0.001032341,0.001066784,0.0004827248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009572242,"about_ca_system_score_gemma":0.001501322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006137659,"about_ca_topic_score_gemma":0.005204902,"domain_scores_codex":[0.9967115,0.001629831,0.0002461381,0.0007955802,0.0004645334,0.0001523061],"domain_scores_gemma":[0.9887981,0.007363471,0.001705928,0.0008705506,0.001054311,0.0002077639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001545478,0.0005316366,0.3997723,0.0005865107,0.001585739,0.0003558255,0.0002166685,0.3318929,0.003532747,0.002306705,0.006715426,0.2509582],"study_design_scores_gemma":[0.0001235704,0.0005637368,0.06119448,0.0001543558,0.0002762894,0.0003283455,0.00006630876,0.9253505,0.002680089,0.007551395,0.001635711,0.00007522284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.611676,0.005267291,0.3626751,0.002676509,0.0002230755,0.0004230428,0.008160853,0.003958771,0.004939502],"genre_scores_gemma":[0.9494914,0.0002477762,0.04729392,0.0001788693,0.0001023007,0.00009693047,0.002112349,0.00002880297,0.0004476265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008934994,"threshold_uncertainty_score":0.04725331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679741713958862,"score_gpt":0.292307698182225,"score_spread":0.2655102810426364,"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."}}