{"id":"W4410597066","doi":"10.1016/j.cell.2025.04.036","title":"Inheritance of acquired adaptive cold tolerance in rice through DNA methylation","year":2025,"lang":"en","type":"article","venue":"Cell","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Youth Innovation Promotion Association; Chinese Academy of Sciences; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; Institute of Botany, Chinese Academy of Sciences; National Key Research and Development Program of China; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Institute of Genetics; Northwestern Polytechnical University; Ministry of Science and Technology of the People's Republic of China; China Postdoctoral Science Foundation; National Natural Science Foundation of China; Northwestern University","keywords":"Biology; Inheritance (genetic algorithm); DNA methylation; Genetics; DNA; Evolutionary biology; Computational biology; Gene; Gene expression","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007874554,0.0001926971,0.0001224073,0.0001744415,0.000102296,0.0001162754,0.0001315009,0.0001108136,0.0007128688],"category_scores_gemma":[0.00008305111,0.0001011581,0.000154786,0.0001249399,0.0001729455,0.00008193253,0.0002465747,0.0002851836,0.0001427097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186795,"about_ca_system_score_gemma":0.0001351589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007404506,"about_ca_topic_score_gemma":0.001614539,"domain_scores_codex":[0.9999502,0.000004631608,0.000003885066,0.00002254313,0.00000857455,0.00001014959],"domain_scores_gemma":[0.9999117,0.00001301934,0.00003122513,0.00001964156,0.00001036325,0.0000140519],"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":[0.00001981084,0.000001840589,0.0009460534,0.000007058466,0.000002303496,0.00002850571,0.00001695765,0.00001913701,0.9981445,0.00003799506,0.00000410063,0.0007717612],"study_design_scores_gemma":[0.00001355033,0.0001877514,0.1791222,0.000005273109,0.00004680414,0.0008888437,0.00006738125,0.0008587121,0.8169557,0.0002315417,0.001608262,0.00001396254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965771,0.0002019877,0.002318294,0.00002851784,0.000004201803,0.000006252214,0.0002071628,0.00005017994,0.0006063057],"genre_scores_gemma":[0.9977462,0.000106797,0.001036758,0.00001987962,0.000002896408,0.000007751413,0.0002049086,0.00001294577,0.00086193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007404506,"threshold_uncertainty_score":0.002384782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02857265646496421,"score_gpt":0.2603831704147885,"score_spread":0.2318105139498243,"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."}}