{"id":"W2019063258","doi":"10.1016/j.jacc.2008.12.064","title":"Genomics, Transcriptional Profiling, and Heart Failure","year":2009,"lang":"en","type":"review","venue":"Journal of the American College of Cardiology","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cardiome (Canada)","funders":"National Institute on Aging","keywords":"Medicine; Computational biology; Genomics; Disease; Profiling (computer programming); Gene expression profiling; Clinical trial; Heart failure; Bioinformatics; Genotyping; Gene; Genome; Gene expression; Genetics; Pathology; Biology; Internal medicine; Genotype; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.000546577,0.0002647859,0.004697465,0.0002115855,0.00006346631,0.000003090107,0.0001884944,0.0001237974,0.000001820162],"category_scores_gemma":[0.0001339775,0.0001541035,0.00202869,0.0002751111,0.0007121876,0.00002287932,0.00006087663,0.0005970254,8.10587e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001186977,"about_ca_system_score_gemma":0.000701143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001338641,"about_ca_topic_score_gemma":5.940726e-7,"domain_scores_codex":[0.9981739,0.0003718781,0.0008394061,0.0001727213,0.0002466363,0.0001954459],"domain_scores_gemma":[0.998087,0.0001709604,0.001126365,0.0002735548,0.0002500813,0.00009206521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001597359,0.0001781656,0.003145796,0.01444185,0.01865517,0.001426682,0.0001409605,0.00003537308,0.0009533552,0.001829751,0.1849376,0.7726579],"study_design_scores_gemma":[0.00041336,0.0007407512,0.001199885,0.001815786,0.003634368,0.02692603,0.0001516739,1.665294e-7,0.000005305973,0.00005689052,0.9649395,0.0001162425],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001310547,0.9960772,0.00003943386,0.001176998,0.0004237606,0.0004296392,0.0001977838,0.000004198485,0.0003403869],"genre_scores_gemma":[0.00212198,0.9945504,0.001738777,0.0002062841,0.001244872,0.000005250831,0.000002681691,0.0000227153,0.0001070478],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7800019,"threshold_uncertainty_score":0.6284157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611009735140143,"score_gpt":0.3059389331493016,"score_spread":0.2798288357979002,"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."}}