{"id":"W3036558805","doi":"10.1038/s41598-020-66330-0","title":"Serum adipokines/related inflammatory factors and ratios as predictors of infrapatellar fat pad volume in osteoarthritis: Applying comprehensive machine learning approaches","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"PerkinElmer Biosignal; Université de Montréal; Université Laval","funders":"GlaxoSmithKline; Novartis Pharmaceuticals Corporation; Pfizer; National Institutes of Health; U.S. Department of Health and Human Services; Foundation for the National Institutes of Health","keywords":"Adipokine; Chemerin; Osteoarthritis; Medicine; Infrapatellar fat pad; Adiponectin; Internal medicine; Cohort; Biomarker; Body mass index; Leptin; Obesity; Pathology; Biology","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":[0.002771308,0.0007826374,0.0006684261,0.001611072,0.0001844621,0.0005975495,0.00033869,0.0002875795,0.0008768702],"category_scores_gemma":[0.004869945,0.0001803182,0.0009551484,0.0005986959,0.0001951863,0.0003524799,0.0006150576,0.0004621309,0.0002194061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002348996,"about_ca_system_score_gemma":0.0004327398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245559,"about_ca_topic_score_gemma":0.001687573,"domain_scores_codex":[0.9992453,0.0003912158,0.00006850814,0.000123244,0.0001291245,0.00004260596],"domain_scores_gemma":[0.9979741,0.001359853,0.0002674208,0.0001298241,0.0001678385,0.0001009356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001064627,0.0002643161,0.8001995,0.0001175011,0.0009804803,0.0001515561,0.0001136985,0.05774986,0.005586148,0.0001810634,0.0005018415,0.1330894],"study_design_scores_gemma":[0.00006446036,0.001149548,0.3853351,0.0000815268,0.0004298728,0.0003921487,0.0001421313,0.6074718,0.003214874,0.001145611,0.0005286815,0.00004426946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458534,0.000954167,0.05172649,0.0001555733,0.00001805024,0.00005859648,0.0004350694,0.0002716874,0.0005270592],"genre_scores_gemma":[0.9894724,0.0001316861,0.009726611,0.00002173549,0.00001899372,0.00003387398,0.0004045435,0.00001021917,0.0001798029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002771308,"threshold_uncertainty_score":0.01465625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272525516837109,"score_gpt":0.2154038937842999,"score_spread":0.1926786386159288,"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."}}