{"id":"W4409715464","doi":"10.1016/j.joca.2025.02.130","title":"DEEP LEARNING-BASED CLUSTERING FOR ENDOTYPING AND POST-ARTHROPLASTY RESPONSE CLASSIFICATION USING KNEE OSTEOARTHRITIS MULTI-OMIC DATA","year":2025,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; York University; University Health Network","funders":"","keywords":"Osteoarthritis; Cluster analysis; Medicine; Computer science; Artificial intelligence; Pathology","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":[0.002777587,0.001116777,0.001700858,0.002600532,0.0007606141,0.001152884,0.001714667,0.001713134,0.002568517],"category_scores_gemma":[0.006447641,0.0003365298,0.002028265,0.002013553,0.0004504828,0.0007584702,0.001542241,0.001945056,0.002287031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009218372,"about_ca_system_score_gemma":0.001889434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01879187,"about_ca_topic_score_gemma":0.03026153,"domain_scores_codex":[0.9983839,0.0004531206,0.0001474019,0.0004770245,0.0002144153,0.0003242182],"domain_scores_gemma":[0.9972862,0.001339856,0.000252004,0.0003617079,0.0005398892,0.0002203836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002840874,0.001894682,0.1299839,0.0005961819,0.001423832,0.0005154488,0.0004296545,0.09898163,0.01174445,0.002590398,0.03760453,0.7113944],"study_design_scores_gemma":[0.0001017757,0.0003129226,0.02491019,0.0001083017,0.0002161941,0.0002140547,0.00029625,0.9568456,0.00319686,0.008839348,0.004889401,0.00006903305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4799977,0.009247267,0.4682152,0.004027855,0.0008745175,0.0006167998,0.02602587,0.006797116,0.004197908],"genre_scores_gemma":[0.8654154,0.0008189341,0.09894378,0.0008071847,0.0003838303,0.0003119218,0.02830983,0.0001965991,0.004812576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01879187,"threshold_uncertainty_score":0.03736502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02999125622828289,"score_gpt":0.289394700968123,"score_spread":0.2594034447398401,"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."}}