{"id":"W4293238332","doi":"10.21203/rs.3.rs-1547537/v1","title":"Mendelian Randomization of Circulating Proteome Identifies Actionable Targets in Heart Failure","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Fonds de Recherche du Québec - Santé; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Canadian Institutes of Health Research; Université Laval","keywords":"Mendelian randomization; Proteome; Heart failure; Genome-wide association study; Pleiotropy; Biology; Myocardial infarction; Disease; Bioinformatics; Medicine; Genetics; Internal medicine; Computational biology; Phenotype; Single-nucleotide polymorphism; Gene; Genotype; Genetic variants","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003441484,0.0004183061,0.0006570817,0.001017231,0.00025298,0.0005121566,0.0004342706,0.0003681705,0.001969455],"category_scores_gemma":[0.006318111,0.000201874,0.0007721878,0.0007600898,0.0005117496,0.0002978315,0.0005135266,0.0003630506,0.0001145654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002140398,"about_ca_system_score_gemma":0.0002946201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005768784,"about_ca_topic_score_gemma":0.0003825569,"domain_scores_codex":[0.9967957,0.001627618,0.0001262984,0.000983565,0.0002801758,0.0001866512],"domain_scores_gemma":[0.9955995,0.002585764,0.0008888565,0.0006489576,0.0001237703,0.0001531851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006334159,0.0003379764,0.7387096,0.000307145,0.004017123,0.002116757,0.0003320012,0.009230286,0.171203,0.008348823,0.000976872,0.0580863],"study_design_scores_gemma":[0.0002861702,0.001502876,0.881187,0.00002569609,0.001642423,0.002537954,0.0001658863,0.08001452,0.01869959,0.01230792,0.001557214,0.00007277953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671431,0.0002853113,0.03150521,0.00009236149,0.00001741021,0.00003831928,0.0004008086,0.0001705757,0.0003469099],"genre_scores_gemma":[0.9943052,0.000041068,0.00527906,0.0000423411,0.000008393181,0.00003211497,0.0001810621,0.00001873032,0.00009199984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003441484,"threshold_uncertainty_score":0.01820052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527371823443832,"score_gpt":0.3529940011007466,"score_spread":0.3277202828663083,"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."}}