{"id":"W4394138115","doi":"10.6084/m9.figshare.19311184","title":"Additional file 11 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; Disease; Computational biology; Biology; Medicine; Bioinformatics; Genetics; 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":[0.001038541,0.001531072,0.001528017,0.002103853,0.0007583144,0.001878566,0.002282256,0.00176117,0.4780035],"category_scores_gemma":[0.009658214,0.0006283512,0.001316802,0.003114412,0.0003153506,0.001083802,0.001144274,0.001405994,0.07810024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293391,"about_ca_system_score_gemma":0.001951659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009918787,"about_ca_topic_score_gemma":0.02068791,"domain_scores_codex":[0.9994229,0.00009635041,0.00006856869,0.0002094797,0.0001056129,0.00009716112],"domain_scores_gemma":[0.9943422,0.00386093,0.0003879738,0.0004526746,0.0006063703,0.0003497571],"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":[0.000221245,0.00006911132,0.003573067,0.002539319,0.0001250837,0.00009049111,0.00003625713,0.0007704503,0.0002317489,0.0009199835,0.9878615,0.00356173],"study_design_scores_gemma":[0.004130837,0.0001598898,0.03123977,0.002206865,0.0004606691,0.0006815189,0.0001942,0.0029211,0.001200857,0.01244571,0.9442367,0.0001220562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008928023,0.00001957758,0.00005861694,0.00003302946,0.000006211619,0.000009988165,0.9994795,0.00009960413,0.0002042891],"genre_scores_gemma":[0.002190041,0.00006616883,0.0006909288,0.0001446336,0.00001521491,0.000227873,0.995479,0.0001497228,0.001036445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4780035,"threshold_uncertainty_score":0.7445646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00811455368137795,"score_gpt":0.2261227293820216,"score_spread":0.2180081757006437,"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."}}