{"id":"W2546781214","doi":"10.1007/978-3-319-46376-6_21","title":"Computational Approaches to Epigenetic Drug Discovery","year":2016,"lang":"en","type":"book-chapter","venue":"Emergence, complexity and computation","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Pharmacophore; Drug discovery; Epigenetics; Computational biology; Virtual screening; Drug development; Computer science; Bioinformatics; Drug; Biology; Pharmacology; Genetics; Gene","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":[0.0001954011,0.0003539061,0.0002850901,0.0001343995,0.0002032599,0.0000684893,0.0001684242,0.0002033836,0.00007803468],"category_scores_gemma":[0.00001616794,0.0003404079,0.0001262224,0.00004275729,0.0001728252,0.00001077063,0.0002090235,0.0001127263,0.00005863128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001953989,"about_ca_system_score_gemma":0.00008025202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000897327,"about_ca_topic_score_gemma":0.00005774502,"domain_scores_codex":[0.998288,0.0000518009,0.0004282428,0.0007058302,0.0002973962,0.0002287105],"domain_scores_gemma":[0.9992539,0.00003355112,0.0002025423,0.000238274,0.0001158172,0.0001558689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004264057,0.0002214362,0.0009324797,0.0003829537,0.0007057975,0.00001012919,0.0007274392,0.07151609,0.00842849,0.7161236,0.01239779,0.1881274],"study_design_scores_gemma":[0.0008821964,0.0006533514,0.005897574,0.0002301256,0.0001271797,0.000009670442,0.00004409388,0.006010192,0.003096224,0.8271925,0.1540454,0.00181142],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05258133,0.005762511,0.7717416,0.001550673,0.0009998902,0.001215958,0.0004242976,0.000063771,0.16566],"genre_scores_gemma":[0.8284472,0.0008406522,0.0127818,0.0002703333,0.001021157,0.00004155692,0.00193585,0.0001140894,0.1545474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7758659,"threshold_uncertainty_score":0.9999048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09865060590944082,"score_gpt":0.2710491243292322,"score_spread":0.1723985184197914,"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."}}