{"id":"W2990802895","doi":"10.1159/000503828","title":"Integrative Network Analysis of Multi-Omics Data in the Link between Plasma Carotenoid Concentrations and Lipid Profile","year":2019,"lang":"en","type":"article","venue":"Lifestyle Genomics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Carotenoid; Biology; DNA methylation; Gene; Methylation; Transcriptome; Epigenome; Lipid profile; Genetics; Gene expression; Cholesterol; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006468201,0.0001192251,0.0003123452,0.00004648444,0.00005458673,0.00001387557,0.00037841,0.0001724586,0.000005552216],"category_scores_gemma":[0.0001720845,0.00009263623,0.00005218253,0.0002472176,0.00007790584,0.000004077989,0.0002078129,0.0001305982,0.00000407219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001572782,"about_ca_system_score_gemma":0.0000952328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001160819,"about_ca_topic_score_gemma":0.0007254444,"domain_scores_codex":[0.9988436,0.0002117894,0.0003483732,0.0003272796,0.00005553346,0.0002134217],"domain_scores_gemma":[0.9989036,0.0001614815,0.0001966042,0.0006484788,0.00005379173,0.000036063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000129238,0.00001546072,0.9831005,0.0000060038,0.0004675867,2.136041e-7,0.0005139408,0.00698843,0.007209513,0.00013643,0.0002257259,0.001323222],"study_design_scores_gemma":[0.0006859899,0.0001997621,0.9142324,0.000007102799,0.0005066761,0.000001846563,0.001088892,0.06159836,0.0006129036,0.00004439686,0.02078639,0.000235275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995391,0.0002944373,0.002685688,0.0004812331,0.00007789365,0.0003458364,0.0005191725,0.000002774816,0.0002019502],"genre_scores_gemma":[0.9864635,0.0004184354,0.009003315,0.0001806057,0.0004071918,0.00001369684,0.003363878,0.0000101502,0.000139172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06886814,"threshold_uncertainty_score":0.3777596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126153645866757,"score_gpt":0.2784287316531577,"score_spread":0.2571671951944901,"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."}}