{"id":"W4283016154","doi":"10.3390/metabo13030373","title":"Global and Partial Effect Assessment in Metabolic Syndrome Explored by Metabolomics","year":2023,"lang":"en","type":"article","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; Réseau québécois de recherche sur le vieillissement; Fonds de recherche du Québec; Agence Nationale de la Recherche; Université de Sherbrooke","keywords":"Metabolomics; Computer science; Path (computing); Path coefficient; Block (permutation group theory); Regression; Variance (accounting); Data mining; Path analysis (statistics); Statistics; Machine learning; Mathematics; Bioinformatics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01004606,0.001425598,0.0008808261,0.001582643,0.0002751015,0.0008637289,0.0004602072,0.0006572611,0.002839169],"category_scores_gemma":[0.013605,0.0003218772,0.002187635,0.00101944,0.001324863,0.0009964434,0.001821235,0.0008944934,0.0002150343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000338841,"about_ca_system_score_gemma":0.0007593771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002068605,"about_ca_topic_score_gemma":0.002672412,"domain_scores_codex":[0.9939904,0.004732148,0.0001146811,0.0008122831,0.0002489045,0.0001014632],"domain_scores_gemma":[0.9779056,0.01954524,0.0008017803,0.001265788,0.0002990199,0.0001825231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007295086,0.0003459168,0.3856091,0.002152468,0.01135224,0.001001844,0.001740472,0.213053,0.06064093,0.01776281,0.001161674,0.2978844],"study_design_scores_gemma":[0.0001982298,0.00363024,0.3966398,0.0002663702,0.006179943,0.0009759606,0.0007324051,0.4754333,0.03145783,0.0772424,0.006999234,0.0002443224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4945258,0.001846635,0.4998159,0.0002674953,0.00003193655,0.0001592851,0.001361435,0.0007495511,0.00124181],"genre_scores_gemma":[0.9352491,0.0003445568,0.06292541,0.00005462876,0.00001366052,0.0001571852,0.0004631567,0.0001331309,0.0006591224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01004606,"threshold_uncertainty_score":0.0531292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008678275587211487,"score_gpt":0.2743752844541317,"score_spread":0.2656970088669202,"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."}}