{"id":"W2291964516","doi":"10.1096/fasebj.23.1_supplement.594.11","title":"Development of a predictive model for negative microvascular outcomes in the metabolic syndrome","year":2009,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Apelin-related biomedical research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society for Exercise Physiology","funders":"","keywords":"Metabolic syndrome; Medicine; Insulin resistance; Internal medicine; Endothelial dysfunction; Endocrinology; Physiology; Diabetes mellitus; Insulin","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002365478,0.0001271627,0.0003711262,0.0001654298,0.0001538341,0.00001584328,0.0003582384,0.00008069661,0.00002492836],"category_scores_gemma":[0.0006420573,0.00005564874,0.0001956168,0.0002934663,0.0001486563,0.00005525494,0.00003246036,0.0006880185,0.000006901976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008386365,"about_ca_system_score_gemma":0.000556053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004043288,"about_ca_topic_score_gemma":0.000003302864,"domain_scores_codex":[0.9981514,0.0001267105,0.0004664924,0.0001206293,0.0007999767,0.0003348036],"domain_scores_gemma":[0.9990274,0.0003300149,0.000130904,0.0002130986,0.0001733621,0.0001251651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007052114,0.005910505,0.008031287,0.0002202211,0.007959188,0.001423413,0.1708679,0.002800797,0.5962057,0.003056502,0.002969037,0.1935033],"study_design_scores_gemma":[0.01995984,0.002347811,0.7402968,0.0009098499,0.001241926,0.004405005,0.01131505,0.1215666,0.07883996,0.01738285,0.001213006,0.0005212472],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785672,0.0006347922,0.01490208,0.004963771,0.00003151919,0.00074108,0.000007546413,0.000006965932,0.0001449935],"genre_scores_gemma":[0.9905075,0.0001198622,0.008323535,0.0007223655,0.00003754655,0.00002065227,0.000003549811,0.00000957781,0.0002554544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7322655,"threshold_uncertainty_score":0.2989137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04040449426736331,"score_gpt":0.3301167339555676,"score_spread":0.2897122396882043,"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."}}