{"id":"W2988719929","doi":"10.1139/apnm-2019-0375","title":"Prediction modelling of 1-year outcomes to a personalized lifestyle intervention for Canadians with metabolic syndrome","year":2019,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Kingston Health Sciences Centre; University of Toronto; University of Alberta; University of Guelph","funders":"","keywords":"Medicine; Waist; Metabolic syndrome; Psychological intervention; Dyslipidemia; Concordance; Categorical variable; Framingham Risk Score; Physical therapy; Obesity; Gerontology; Internal medicine; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.004415816,0.001083785,0.001071194,0.000846928,0.0009006882,0.00103354,0.001800419,0.0009637673,0.002663197],"category_scores_gemma":[0.009579724,0.000443907,0.001294258,0.0008265502,0.000444805,0.0003040011,0.0008759642,0.001465148,0.0003078305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01018333,"about_ca_system_score_gemma":0.01132376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8771474,"about_ca_topic_score_gemma":0.7638379,"domain_scores_codex":[0.9989805,0.0003971826,0.00003587467,0.0002094345,0.0001278739,0.0002491476],"domain_scores_gemma":[0.9969261,0.001616421,0.0003735897,0.000109698,0.0006998077,0.0002742513],"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":[0.001627279,0.0005089794,0.3301151,0.0002121888,0.0007655605,0.0002282179,0.0005043995,0.6165746,0.0007963972,0.00271795,0.005591555,0.04035783],"study_design_scores_gemma":[0.00007969649,0.0001308124,0.04243482,0.00002774161,0.0001115486,0.00001798569,0.00009725919,0.9554938,0.0001428733,0.0005564428,0.0008808126,0.00002614382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720419,0.0006075284,0.01756111,0.002014918,0.0001032344,0.0002984697,0.004521934,0.0003071531,0.002543664],"genre_scores_gemma":[0.9846812,0.0002185292,0.008525274,0.0001868466,0.0000303918,0.0001942292,0.003308329,0.00002404902,0.00283108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1228526,"threshold_uncertainty_score":0.2471521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843993804942184,"score_gpt":0.2470012627209119,"score_spread":0.22856132467149,"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."}}