{"id":"W4411224032","doi":"10.1007/s10126-025-10476-3","title":"Transcription Dynamics and DNA Methylation Responses to Growth Modification","year":2025,"lang":"en","type":"article","venue":"Marine Biotechnology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics; University of Victoria; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Genome British Columbia; Genome Canada; McGill University","keywords":"Biology; DNA methylation; Transcription (linguistics); DNA; Methylation; Epigenetics; Genetics; Dynamics (music); Computational biology; Transcription factor; Cell biology; Gene; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001917482,0.0001061777,0.0001001846,0.0002429463,0.00007002963,0.00001687847,0.0001037644,0.0003322636,0.000004064967],"category_scores_gemma":[0.000211095,0.0001135863,0.00002694685,0.0002399794,0.00005977556,0.000003032618,0.0001211527,0.00007452176,0.000003146779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002955516,"about_ca_system_score_gemma":0.00002537641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005565237,"about_ca_topic_score_gemma":0.0002103644,"domain_scores_codex":[0.9992729,0.00004999867,0.0001720383,0.0003204693,0.00005048523,0.0001340912],"domain_scores_gemma":[0.9995853,0.00001299607,0.00003982667,0.0002585679,0.00007282753,0.00003043382],"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":[0.0001030866,0.00002110052,0.004670197,0.0000125133,0.0000158109,2.471831e-7,0.000008553067,0.00001091937,0.8972917,0.01943316,0.00003672799,0.07839597],"study_design_scores_gemma":[0.0002647033,0.0002094928,0.05840636,0.000004749832,0.00001769879,0.000001168393,0.00002554259,0.0009489626,0.9269893,0.005552276,0.007455969,0.0001238343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8770145,0.0002931433,0.1159672,0.005445994,0.0001057916,0.0002060978,0.000008385669,0.0000411473,0.0009177196],"genre_scores_gemma":[0.9947002,0.0005281608,0.003272134,0.0001460803,0.00002668317,0.00002969868,0.0001481491,0.00001001544,0.001138902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1176857,"threshold_uncertainty_score":0.4631914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009555116456869017,"score_gpt":0.2623981220610243,"score_spread":0.2528430056041552,"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."}}