{"id":"W4385633678","doi":"10.1186/s12014-023-09421-0","title":"Proteomic analysis of 92 circulating proteins and their effects in cardiometabolic diseases","year":2023,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Medical Research Council","keywords":"Mendelian randomization; Biology; Quantitative trait locus; Genome-wide association study; Expression quantitative trait loci; Computational biology; Genetics; Proteomics; Genetic association; Phenotype; Epistasis; Quantitative proteomics; Proteome; Disease; Bioinformatics; Gene; Genetic variants; Medicine; Single-nucleotide polymorphism; Genotype; Internal medicine","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":[0.0009972173,0.0002004207,0.001368379,0.0007370773,0.00004400896,0.00001497834,0.0001097137,0.0001727031,0.000007437906],"category_scores_gemma":[0.00300574,0.0001532593,0.0004677476,0.002546472,0.0002314554,0.00007652039,0.0001334944,0.0002908882,0.000009232378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001672554,"about_ca_system_score_gemma":0.0001498709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006004311,"about_ca_topic_score_gemma":0.000007707268,"domain_scores_codex":[0.9979574,0.0002287804,0.0008297666,0.0004675216,0.0001922028,0.0003243358],"domain_scores_gemma":[0.9986104,0.0003991053,0.0002137498,0.0004847675,0.00007040095,0.0002215389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000217619,0.0002659304,0.9665787,0.0004709236,0.0008298349,0.00001671461,0.0002514575,0.0001765729,0.01230356,0.0002655719,0.00002471354,0.01859838],"study_design_scores_gemma":[0.002587322,0.00013667,0.9842272,0.00008796267,0.001149137,0.000001584111,0.0001191558,0.009700365,0.001003486,0.0007678619,0.00005968416,0.0001595348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953651,0.0004457704,0.0007230798,0.0002347204,0.0001413838,0.002837116,0.00003529792,0.00009483725,0.0001227304],"genre_scores_gemma":[0.9977836,0.0003032022,0.001154863,0.0001470818,0.0001876647,0.0003024147,0.00005546064,0.00002899844,0.00003669325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01843885,"threshold_uncertainty_score":0.6249732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054449158625626,"score_gpt":0.3416780498536038,"score_spread":0.3111335582673475,"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."}}