{"id":"W3089274582","doi":"10.1007/s13105-020-00766-w","title":"Comparing an adiposopathy approach with four popular classifications schemes to categorize the metabolic profile of postmenopausal women","year":2020,"lang":"en","type":"article","venue":"Journal of Physiology and Biochemistry","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute; Université Laval; Université du Québec à Montréal; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Fonds de Recherche du Québec - Santé; Université du Québec à Montréal; Diabète Québec","keywords":"Adipokine; Adiponectin; Internal medicine; Endocrinology; Insulin resistance; Medicine; Cardiorespiratory fitness; Adipose tissue; Glucose homeostasis; Leptin; Body mass index; Lipogenesis; Obesity; Waist","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004897614,0.0008481866,0.0006455265,0.003950785,0.0008128866,0.002038104,0.0006397189,0.0007112107,0.002755205],"category_scores_gemma":[0.009056616,0.0001360446,0.001279619,0.001923783,0.0005368553,0.001029871,0.001523292,0.0009120083,0.0005501182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008472097,"about_ca_system_score_gemma":0.001261995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006647316,"about_ca_topic_score_gemma":0.009119521,"domain_scores_codex":[0.9982635,0.0008519269,0.000209794,0.0002118968,0.000322861,0.0001399899],"domain_scores_gemma":[0.995927,0.002009069,0.0005215622,0.0002357432,0.001095748,0.0002109045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006274399,0.0005839817,0.8052741,0.0005592748,0.001434765,0.0001755157,0.002043034,0.002213864,0.004053391,0.002890707,0.002958869,0.171538],"study_design_scores_gemma":[0.0006088988,0.002832379,0.9102875,0.0005624886,0.002211545,0.0006534668,0.01376568,0.04702109,0.002944951,0.01149856,0.007441778,0.0001716567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690982,0.001604238,0.02055924,0.0009475481,0.0002651304,0.0004136058,0.001975257,0.000094078,0.00504264],"genre_scores_gemma":[0.9762083,0.0004591694,0.02073334,0.0001611203,0.00007886252,0.0002744745,0.001199257,0.00001958085,0.0008657675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006647316,"threshold_uncertainty_score":0.02590132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02799624381818829,"score_gpt":0.2543664331319168,"score_spread":0.2263701893137285,"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."}}