{"id":"W2049187648","doi":"10.1373/49.9.1566","title":"The Epigenome: Molecular Hide and Seek. Stephan Beck and Alexander Olek, editors. Weinheim, Germany: Wiley-VCH GmbH Co. KGaA, 2003, 188 pp., $35.00, softcover. ISBN 3-527-30494-0.","year":2003,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Epigenome; DNA methylation; Anticipation (artificial intelligence); Human genome; Biology; DNA; Computational biology; Genetics; Genome; Computer science; Gene; Artificial intelligence","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":[0.001031462,0.0004116728,0.000414376,0.00001379543,0.000324702,0.0001126591,0.0002988627,0.0007031087,0.00008088217],"category_scores_gemma":[0.001128186,0.0003548804,0.0001779493,0.0001345121,0.000592111,0.00001117762,0.0001946301,0.0004563497,0.00001455028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002304438,"about_ca_system_score_gemma":0.0002301883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006996028,"about_ca_topic_score_gemma":0.000003789981,"domain_scores_codex":[0.9972086,0.0001942251,0.0008008598,0.0009206477,0.0003068256,0.0005688603],"domain_scores_gemma":[0.9980258,0.0002137961,0.0002892001,0.0008185242,0.0002203268,0.0004323421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002299695,0.0003908808,0.1099483,0.0002101805,0.0004791946,0.00004938926,0.00005047527,0.00002581099,0.8422689,0.0001059339,0.04009261,0.006148243],"study_design_scores_gemma":[0.001331129,0.0001918881,0.00625795,0.00003410111,0.00008486278,0.00001345788,0.0000557821,0.00003603142,0.4099102,0.0003697085,0.5811794,0.0005354308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941207,0.05236268,0.0003920521,0.0003486193,0.0007139917,0.0002950106,0.00004371765,0.00002607262,0.004610861],"genre_scores_gemma":[0.9646993,0.02616308,0.0004642929,0.0005031487,0.002510642,0.00004302693,0.0002016632,0.00009216688,0.005322621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5410868,"threshold_uncertainty_score":0.9998903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337096096308683,"score_gpt":0.3025492916073159,"score_spread":0.2891783306442291,"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."}}