{"id":"W4362704104","doi":"10.1186/s12933-023-01815-6","title":"Cardiovascular risk of metabolically healthy obesity in two european populations: Prevention potential from a metabolomic study","year":2023,"lang":"en","type":"article","venue":"Cardiovascular Diabetology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Ministerio de Ciencia e Innovación; KU Leuven; Generalitat Valenciana","keywords":"Medicine; Angiology; Obesity; Metabolomics; Internal medicine; Diabetes mellitus; Environmental health; Bioinformatics; Endocrinology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003379281,0.0003466122,0.001512107,0.0003866261,0.0001444294,0.00001809868,0.0004133087,0.0001331657,0.00001158735],"category_scores_gemma":[0.0003854121,0.000348708,0.001904939,0.0007584031,0.0001302151,0.00001126454,0.0004886719,0.0002586574,0.00003265947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002652898,"about_ca_system_score_gemma":0.00007133051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00114201,"about_ca_topic_score_gemma":0.0005271232,"domain_scores_codex":[0.9943485,0.002877295,0.0007541687,0.001017628,0.0004398843,0.000562576],"domain_scores_gemma":[0.9979343,0.00002732792,0.0002175048,0.001547296,0.0001618572,0.0001116663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004954427,0.00174582,0.8336613,0.00008949301,0.04854102,0.0002215848,0.0005128222,0.03086541,0.03272838,0.0006033728,0.000378457,0.05015688],"study_design_scores_gemma":[0.004505026,0.0002885283,0.9807448,0.000009488471,0.002844727,0.000008019776,0.0003642417,0.0001357203,0.001913122,0.0009409425,0.007828196,0.000417176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562118,0.03772813,0.004131276,0.00002800415,0.0006868896,0.0008804863,0.00008791678,0.00004997987,0.0001955375],"genre_scores_gemma":[0.9934928,0.004521629,0.0009671769,0.00002426415,0.0003636322,0.00010778,0.0004304008,0.00005776349,0.00003452245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1470835,"threshold_uncertainty_score":0.9998965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019465305894968,"score_gpt":0.2810397528675221,"score_spread":0.2615744469725541,"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."}}