{"id":"W4280599281","doi":"10.1111/mec.16500","title":"Complementary genomic and epigenomic adaptation to environmental heterogeneity","year":2022,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Biology; Epigenetics; Adaptation (eye); Population; Evolutionary biology; Genetic variation; Genetics; Epigenomics; Local adaptation; Environmental change; DNA methylation; Ecology; Gene; Climate change","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":[0.0001564893,0.0001463704,0.0001828289,0.0005141966,0.0001189005,0.0002084953,0.0001793954,0.0001858593,0.001068709],"category_scores_gemma":[0.0005416315,0.0001095069,0.0001816135,0.000373892,0.0003242924,0.0002132197,0.000471094,0.0002532112,0.00008990033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584722,"about_ca_system_score_gemma":0.0001357817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003597,"about_ca_topic_score_gemma":0.003126758,"domain_scores_codex":[0.9998428,0.00002065597,0.000006644656,0.0000757689,0.0000268908,0.00002720425],"domain_scores_gemma":[0.999626,0.00008123863,0.0001464707,0.00005534797,0.0000497502,0.0000412223],"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":[0.0001745132,0.00001649164,0.1627848,0.00007524275,0.0001289583,0.0002069175,0.000263873,0.0005870743,0.8239909,0.0005299816,0.00005606255,0.01118518],"study_design_scores_gemma":[0.000003266944,0.00005673784,0.9888523,0.00000464043,0.00004650786,0.0002615899,0.0001536263,0.0007982703,0.00888593,0.0003727638,0.0005564153,0.000008028364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975982,0.000159675,0.001327485,0.00002192592,0.000002478678,0.000003874708,0.0002411363,0.00001116304,0.000634124],"genre_scores_gemma":[0.9989154,0.00006030837,0.0005029774,0.0000273878,0.000003094963,0.000005088983,0.0002381004,0.000004147514,0.0002435198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001068709,"threshold_uncertainty_score":0.003575206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009465153061412735,"score_gpt":0.2016845327142923,"score_spread":0.1922193796528796,"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."}}