{"id":"W4394335973","doi":"10.6084/m9.figshare.19311181","title":"Additional file 10 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; Coronary artery disease; 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":[0.001061367,0.001690297,0.001637038,0.00214636,0.0008192975,0.00202744,0.002459347,0.001862152,0.461004],"category_scores_gemma":[0.009254747,0.0006891903,0.001391402,0.003055631,0.0003437515,0.001106233,0.001173834,0.001557224,0.07280449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375898,"about_ca_system_score_gemma":0.002122446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01129934,"about_ca_topic_score_gemma":0.02317101,"domain_scores_codex":[0.9993912,0.00009525239,0.00006969066,0.0002201691,0.0001173677,0.000106268],"domain_scores_gemma":[0.9948393,0.003404287,0.0003741073,0.0004503696,0.0005858701,0.0003460343],"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":[0.0002331022,0.0000833773,0.003702721,0.002414404,0.0001400615,0.00009092834,0.00003590205,0.0008553682,0.0002778276,0.0008903618,0.9878495,0.003426304],"study_design_scores_gemma":[0.004965092,0.0001891707,0.03274934,0.002269462,0.0005087219,0.0007232659,0.0002153652,0.003669963,0.001515414,0.01293661,0.9401164,0.0001410586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009611761,0.00001707572,0.00005935719,0.00003136689,0.000006678976,0.00001054542,0.9994919,0.0001053578,0.0001815602],"genre_scores_gemma":[0.002081669,0.00005668143,0.0006754097,0.0001354635,0.00001477303,0.0002348052,0.995748,0.0001442704,0.0009089792],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.461004,"threshold_uncertainty_score":0.7688124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008316991973670928,"score_gpt":0.2279815480546637,"score_spread":0.2196645560809928,"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."}}