{"id":"W4404364922","doi":"10.1101/2024.11.13.24317257","title":"Single cell variant to enhancer to gene map for coronary artery disease","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Cegep Edouard Montpetit; Montreal Heart Institute","funders":"","keywords":"Enhancer; Coronary artery disease; Gene; Cell; Disease; Cardiology; Genetics; Biology; Computational biology; Medicine; Internal medicine; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002608452,0.0004082719,0.0005388975,0.0001216489,0.0001119295,0.00006588543,0.000451244,0.0003061895,0.0004087752],"category_scores_gemma":[0.0000459354,0.0003700301,0.0008167473,0.00007955242,0.00005542315,0.00001784134,0.00109747,0.0003136251,0.003073222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009451366,"about_ca_system_score_gemma":0.0001813452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007569364,"about_ca_topic_score_gemma":0.000006801386,"domain_scores_codex":[0.9979309,0.0001388228,0.0003400082,0.001018622,0.00007564147,0.0004959518],"domain_scores_gemma":[0.99861,0.00006184904,0.00006147344,0.0009863792,0.00008926797,0.000191045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006475794,0.000656023,0.0008720749,0.000871859,0.001517093,0.0001653493,0.0005263102,0.0004220258,0.9356762,0.0001115282,0.05004795,0.00848608],"study_design_scores_gemma":[0.001809053,0.0006827344,0.04812776,0.001277588,0.003271899,0.00003624476,0.0001618499,0.0000145659,0.3482831,0.003589888,0.5904478,0.002297492],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471956,0.03526673,0.006558188,0.0009820209,0.006114674,0.001750332,0.001693489,0.0001953461,0.000243627],"genre_scores_gemma":[0.9891344,0.0001109861,0.000456322,0.000951079,0.0003742082,0.001313884,0.0005178364,0.0001037589,0.007037545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.587393,"threshold_uncertainty_score":0.9998752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908892955760819,"score_gpt":0.2356082741751501,"score_spread":0.2165193446175419,"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."}}