{"id":"W2048049311","doi":"10.1039/c1md00199j","title":"Development of second generation epigenetic agents","year":2011,"lang":"en","type":"article","venue":"MedChemComm","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Epigenetics; Computational biology; Biology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004005366,0.0004558457,0.0004362036,0.000556808,0.0002065016,0.0003995567,0.000448262,0.0006293989,0.004584732],"category_scores_gemma":[0.0002178705,0.000159563,0.000422128,0.0001773492,0.0002278051,0.0005002932,0.0005394706,0.0009784348,0.001424041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004036197,"about_ca_system_score_gemma":0.000309512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002077886,"about_ca_topic_score_gemma":0.0003707877,"domain_scores_codex":[0.9998721,0.00002248064,0.000006525295,0.00003073969,0.00004066604,0.00002745995],"domain_scores_gemma":[0.9999065,0.00002410154,0.00002222163,0.00001205664,0.00001887153,0.00001632062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000424264,0.0003393406,0.0008658617,0.002594516,0.0001055067,0.0009054494,0.0001912435,0.001089551,0.5515031,0.02967371,0.008049818,0.4042577],"study_design_scores_gemma":[0.00008826668,0.001628397,0.001282556,0.0001622564,0.00008699433,0.002519539,0.00003931312,0.0008262999,0.4306648,0.002083839,0.5605775,0.00004025446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1826694,0.6237716,0.09912626,0.003872061,0.002933602,0.0005203939,0.000854184,0.0009047964,0.08534769],"genre_scores_gemma":[0.4810894,0.3926215,0.04884519,0.002228954,0.001073415,0.0006943819,0.00128489,0.0001527829,0.07200956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004584732,"threshold_uncertainty_score":0.01533747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06943027545734108,"score_gpt":0.2722752989882153,"score_spread":0.2028450235308742,"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."}}