{"id":"W4324349831","doi":"10.21203/rs.3.rs-2621829/v1","title":"Proteomic analysis of 92 circulating proteins and their effects in cardiometabolic diseases","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Mendelian randomization; Biology; Quantitative trait locus; Genome-wide association study; Expression quantitative trait loci; Genetic association; Computational biology; Genetics; Phenotype; Epistasis; Disease; Bioinformatics; Gene; Genetic variants; Single-nucleotide polymorphism; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001881241,0.0006176794,0.0007124888,0.001812535,0.000409741,0.000811473,0.0003721001,0.0003948849,0.001513144],"category_scores_gemma":[0.002102146,0.0002281055,0.001658356,0.003002092,0.0002697655,0.0002542936,0.0005276637,0.000384061,0.0001530461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287382,"about_ca_system_score_gemma":0.0002566815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001407109,"about_ca_topic_score_gemma":0.001305026,"domain_scores_codex":[0.9991224,0.000248768,0.0001037347,0.00033248,0.0001323946,0.00006010702],"domain_scores_gemma":[0.9987086,0.0005077606,0.0003928225,0.0001711179,0.0001285189,0.00009126095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001377604,0.00004608024,0.9525939,0.0003664405,0.008950778,0.0004047811,0.00009472,0.0004526369,0.02393304,0.000137243,0.0003475522,0.01129523],"study_design_scores_gemma":[0.00003560533,0.0001439766,0.9909141,0.00003083304,0.003211002,0.0007261025,0.00006874656,0.001028567,0.002969112,0.0003056791,0.0005569399,0.000009390373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867162,0.008152504,0.002674755,0.0001316769,0.00002607197,0.00001296949,0.001872561,0.00004954011,0.0003636417],"genre_scores_gemma":[0.9970497,0.0008007007,0.001268608,0.00004591432,0.00001870908,0.00001192665,0.0006705314,0.00001476795,0.0001190696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001881241,"threshold_uncertainty_score":0.009949088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05583367274711755,"score_gpt":0.3862758433799163,"score_spread":0.3304421706327988,"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."}}