{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001367676,0.00005658096,0.0001173073,0.000009047209,0.00003058875,0.000005265091,0.0001662726,0.00007955069,0.00002064383],"category_scores_gemma":[0.00002963441,0.00002462385,0.00002755014,0.0004508978,0.00005616466,0.00004723512,0.00004598481,0.0000431727,0.000009953319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001732701,"about_ca_system_score_gemma":0.00001040982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001191548,"about_ca_topic_score_gemma":0.000243044,"domain_scores_codex":[0.99939,0.0001015177,0.0001245436,0.0001658817,0.00007552763,0.0001425266],"domain_scores_gemma":[0.9997039,0.0001630669,0.00004087093,0.00003735223,0.00004141686,0.00001339175],"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":[0.00004214954,0.00004169009,0.002051996,0.000006921429,0.000002524204,0.000002915885,0.00003534073,0.000009747291,0.9966006,0.0002301005,0.0002343845,0.0007415965],"study_design_scores_gemma":[0.0001599022,0.00009077769,0.1195855,0.00002979316,0.00000230678,2.76921e-7,0.00009353299,0.0001091096,0.8748655,0.0007467898,0.004247472,0.00006910068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878849,0.0008562852,0.00003194048,0.0003150062,0.00005258423,0.000152047,0.00001704342,0.00001025983,0.01067989],"genre_scores_gemma":[0.9989153,0.00007068666,0.0001547576,0.0001340566,0.00001648976,0.00001165394,0.00001238171,2.444265e-7,0.0006844504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1217351,"threshold_uncertainty_score":0.1004131,"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."}}