{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002573264,0.0003234504,0.0004264387,0.001161814,0.000246436,0.0002567038,0.0003225745,0.0003078971,0.003216172],"category_scores_gemma":[0.000499204,0.0001314004,0.0008725987,0.001114022,0.0002284043,0.00009306274,0.0003686469,0.0004343317,0.0003101149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002331198,"about_ca_system_score_gemma":0.0002514317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003063516,"about_ca_topic_score_gemma":0.003684324,"domain_scores_codex":[0.9998128,0.00002041897,0.000005879846,0.0001011967,0.00003625331,0.00002350936],"domain_scores_gemma":[0.999592,0.0002205541,0.00006549222,0.00004345428,0.00003282469,0.00004570507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001029348,0.0001527549,0.2308186,0.0002879602,0.0008294617,0.001853485,0.0002210204,0.02023473,0.7006161,0.00534851,0.001456838,0.03715114],"study_design_scores_gemma":[0.000198229,0.0005554367,0.7619386,0.00004123935,0.0008416723,0.002138888,0.0001282847,0.1228947,0.0887168,0.008228704,0.01425256,0.00006489036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947135,0.0006023735,0.04417806,0.0001147061,0.00003550811,0.00005826219,0.005637152,0.0006467469,0.001592181],"genre_scores_gemma":[0.9827209,0.0001341343,0.01293566,0.00007768868,0.00001203824,0.00004443084,0.003299162,0.00006921496,0.000706751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003216172,"threshold_uncertainty_score":0.01075917,"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."}}