{"id":"W4394222830","doi":"10.6084/m9.figshare.19311202","title":"Additional file 17 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; Interactome; Mendelian randomization; Gene; Enhancer; Computational biology; Disease; Coronary artery disease; Biology; Bioinformatics; Genetics; Medicine; Cardiology; 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":[0.001160888,0.00160396,0.001512434,0.002239277,0.0007847545,0.002096661,0.002464677,0.001818912,0.496177],"category_scores_gemma":[0.01014991,0.0006992189,0.001298119,0.003523087,0.0003500523,0.001309912,0.001311574,0.001489693,0.08860484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526785,"about_ca_system_score_gemma":0.002204362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01154264,"about_ca_topic_score_gemma":0.02338556,"domain_scores_codex":[0.9993735,0.00009401701,0.00007687522,0.0002248573,0.0001195737,0.0001111922],"domain_scores_gemma":[0.9945579,0.003472843,0.0004076448,0.0004991568,0.0006881007,0.0003744156],"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":[0.000192917,0.00006056472,0.003175158,0.002110064,0.0001105197,0.00006891858,0.00003276089,0.0006374556,0.0001988774,0.000807103,0.9894339,0.00317157],"study_design_scores_gemma":[0.003971321,0.0001462568,0.02896731,0.002108674,0.0003982879,0.0005873694,0.0002053604,0.00244129,0.001304501,0.01140088,0.9483474,0.0001213439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000727322,0.00001359542,0.00004919045,0.00002815276,0.000005744387,0.000008896063,0.9995407,0.0001023298,0.0001786493],"genre_scores_gemma":[0.001842527,0.00005388034,0.0005977702,0.0001334509,0.00001480419,0.0002196607,0.996035,0.0001569217,0.00094609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.496177,"threshold_uncertainty_score":0.7186424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00815356718719331,"score_gpt":0.2275589390012861,"score_spread":0.2194053718140928,"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."}}