{"id":"W4394369296","doi":"10.6084/m9.figshare.19311214","title":"Additional file 1 of Enhancer promoter interactome and Mendelian randomization identify network of druggable vascular genes in coronary artery disease","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; Université Laval","funders":"","keywords":"Druggability; Mendelian randomization; Interactome; Gene; Computational biology; Enhancer; Biology; Disease; Genetics; Bioinformatics; Medicine; Internal medicine; Gene expression; 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":[0.001064924,0.001533242,0.001475979,0.002014563,0.0007334586,0.001853294,0.002236172,0.001619842,0.5128235],"category_scores_gemma":[0.00992565,0.0006086123,0.001185541,0.003037143,0.0003319894,0.001165024,0.001150885,0.001379776,0.08615211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230383,"about_ca_system_score_gemma":0.001953322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008913675,"about_ca_topic_score_gemma":0.01862894,"domain_scores_codex":[0.9994459,0.00009198057,0.0000624997,0.0002104021,0.00009536986,0.00009394153],"domain_scores_gemma":[0.9943969,0.00386876,0.0003825605,0.0004571407,0.0005531849,0.0003413965],"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":[0.0002168854,0.00006987429,0.00377803,0.002273702,0.0001059514,0.00008230016,0.00003648893,0.0008367944,0.0002060714,0.0009443178,0.9878028,0.003646739],"study_design_scores_gemma":[0.004183758,0.0001918604,0.03077823,0.002157275,0.0004501357,0.000800694,0.000201452,0.003651436,0.001345438,0.01344156,0.9426761,0.0001220146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000939067,0.00001634759,0.00006456082,0.00002773109,0.000005255041,0.000009424166,0.9995155,0.00009144643,0.0001756864],"genre_scores_gemma":[0.002227984,0.00006369944,0.0007354938,0.0001349447,0.00001585651,0.0002250071,0.9954397,0.0001707106,0.0009865826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5128235,"threshold_uncertainty_score":0.6948981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007957644023350759,"score_gpt":0.2248125900738047,"score_spread":0.2168549460504539,"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."}}