{"id":"W2893405529","doi":"10.1159/000493102","title":"Mind the Gap: Genetic Variation and Personalized Therapies for Cardiomyopathies","year":2018,"lang":"en","type":"review","venue":"Lifestyle Genomics","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"CRISPR; Personalized medicine; Genome editing; Cas9; Disease; Medicine; Precision medicine; Computational biology; Bioinformatics; Biology; Genetics; Gene; Internal medicine; Pathology","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"],"consensus_categories":[],"category_scores_codex":[0.0005992432,0.0004248965,0.001649045,0.0001084523,0.0003281382,0.00007584384,0.0001350105,0.0002649449,0.000009100183],"category_scores_gemma":[0.0001549301,0.0002686643,0.0006226317,0.0001337764,0.0003513061,0.00002556399,0.000116355,0.0001983012,0.00002386228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001051354,"about_ca_system_score_gemma":0.0002860273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001229269,"about_ca_topic_score_gemma":0.000003828978,"domain_scores_codex":[0.9984375,0.0001505698,0.0004680325,0.0004682541,0.0001718786,0.0003037131],"domain_scores_gemma":[0.9985421,0.0004722984,0.000276375,0.0004852435,0.0001454179,0.00007854569],"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":[0.00008911928,0.00002939289,0.00004168337,0.01034163,0.002485488,0.00001572993,0.007240435,2.415417e-7,0.000007718098,0.0002570017,0.002614919,0.9768766],"study_design_scores_gemma":[0.0005362126,0.0001841267,0.0002627,0.00128465,0.005657787,0.0005225193,0.0002984605,0.000006315313,8.271568e-7,0.00009935475,0.9908732,0.0002739178],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004366145,0.9952573,0.000862977,0.0001556532,0.0006310169,0.002156154,0.0001899353,0.00002738054,0.0002829736],"genre_scores_gemma":[0.00005179764,0.9918898,0.002748796,0.0001556929,0.00312266,0.0004555905,0.00007630169,0.00008125192,0.00141807],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9882582,"threshold_uncertainty_score":0.9999766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0541394457403736,"score_gpt":0.3196918515246882,"score_spread":0.2655524057843146,"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."}}