{"id":"W4394104236","doi":"10.6084/m9.figshare.20486767","title":"Additional file 2 of Mendelian randomization of circulating proteome identifies actionable targets in heart failure","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Machine Learning in Bioinformatics","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":"","keywords":"Mendelian randomization; Heart failure; Computational biology; Proteome; Bioinformatics; Computer science; Biology; Genetics; Medicine; Internal medicine; Gene; Genetic variants","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003621852,0.001603268,0.002090359,0.002255882,0.001204015,0.002604228,0.002804061,0.002190274,0.8614776],"category_scores_gemma":[0.06084988,0.0008599099,0.001946299,0.003670507,0.0004161972,0.002039849,0.001233793,0.001449737,0.1122396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248828,"about_ca_system_score_gemma":0.002554368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006837554,"about_ca_topic_score_gemma":0.008395914,"domain_scores_codex":[0.9979267,0.0005392857,0.0003680672,0.0005301295,0.0004142078,0.0002215293],"domain_scores_gemma":[0.9579388,0.03331908,0.002247237,0.002728811,0.003021321,0.0007446434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00124575,0.0001320188,0.004282613,0.004940689,0.0002007807,0.0002109114,0.00009178631,0.0005522344,0.0001582684,0.001654114,0.9713364,0.01519443],"study_design_scores_gemma":[0.0209959,0.0009355664,0.05711227,0.01265422,0.001179899,0.002398858,0.0007085511,0.005753201,0.001667363,0.04078723,0.8554059,0.0004011587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003276092,0.00006541471,0.0009645059,0.0002465629,0.00008805256,0.0002228779,0.9966852,0.0004042441,0.0009954899],"genre_scores_gemma":[0.02130008,0.0005367754,0.01716579,0.003070072,0.0005805061,0.007962083,0.9260539,0.003013839,0.02031696],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8614776,"threshold_uncertainty_score":0.1975853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009597533935198193,"score_gpt":0.269653126541891,"score_spread":0.2600555926066928,"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."}}