{"id":"W2900604024","doi":"10.2174/1381612824666181112114228","title":"Machine Learning Methods in Precision Medicine Targeting Epigenetic Diseases","year":2018,"lang":"en","type":"review","venue":"Current Pharmaceutical Design","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Epigenetics; Precision medicine; Artificial intelligence; Machine learning; Computer science; Big data; Deep learning; Data science; Bioinformatics; Medicine; Biology; Data mining; Gene; Genetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001652376,0.0008539013,0.001171663,0.002551046,0.0003097254,0.001040001,0.001090135,0.001771802,0.003646423],"category_scores_gemma":[0.002424774,0.0003311981,0.000898164,0.002482292,0.001026904,0.001937806,0.0007497672,0.003477497,0.002229613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082071,"about_ca_system_score_gemma":0.001237625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009559723,"about_ca_topic_score_gemma":0.001116191,"domain_scores_codex":[0.9995091,0.0001361266,0.00006522749,0.00008428291,0.000174367,0.00003098239],"domain_scores_gemma":[0.9984491,0.001029605,0.0001070026,0.0000467513,0.0003073428,0.00006017258],"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":[0.00005533544,0.00007011077,0.000311983,0.01460453,0.0001534676,0.0002063909,0.00008435363,0.001309551,0.0009133088,0.02573868,0.03840827,0.918144],"study_design_scores_gemma":[0.00001494475,0.00009731978,0.0006452472,0.004307484,0.00010128,0.0009637674,0.00005231037,0.0006075113,0.0008005052,0.01737251,0.9749947,0.00004239372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001063184,0.995243,0.001223723,0.001312015,0.000564117,0.000009038473,0.00002590241,0.00001575567,0.001500132],"genre_scores_gemma":[0.00141503,0.99527,0.001319686,0.0006394256,0.0005734861,0.00001534662,0.00003709148,0.000005935247,0.0007241176],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003646423,"threshold_uncertainty_score":0.01219851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2052753347205047,"score_gpt":0.5133061760988132,"score_spread":0.3080308413783085,"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."}}