{"id":"W4200349800","doi":"10.22541/au.163352215.54408951/v1","title":"Complementary genomic and epigenomic adaptation to environmental heterogeneity","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Epigenetics; Adaptation (eye); Biology; Population; Evolutionary biology; Local adaptation; Epigenomics; Genetic variation; Genetics; DNA methylation; Gene; Gene expression","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":[0.0001853496,0.0001627204,0.0002437629,0.0005912019,0.0001229184,0.0002744769,0.0001744605,0.0002504362,0.001545939],"category_scores_gemma":[0.0006771206,0.0001401439,0.0002497316,0.0004873275,0.0004050394,0.0002769816,0.000583813,0.0002865512,0.0001502235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001433477,"about_ca_system_score_gemma":0.0001449002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005788688,"about_ca_topic_score_gemma":0.001452006,"domain_scores_codex":[0.9997935,0.00002373587,0.000008147807,0.0001019881,0.0000393,0.00003339957],"domain_scores_gemma":[0.9995364,0.0001129806,0.0001567138,0.00008287663,0.00005431685,0.00005679965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002186461,0.00001839152,0.1130008,0.0001301046,0.0001385893,0.0002534018,0.0002745388,0.0006077177,0.8681498,0.0009357654,0.0000838386,0.01618835],"study_design_scores_gemma":[0.000006925735,0.00008967111,0.9785282,0.000007433624,0.00008033224,0.0004738868,0.0001970921,0.001099934,0.01726738,0.00112512,0.001110544,0.00001348871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947754,0.0003043658,0.00297748,0.00004076161,0.000005465345,0.000006491012,0.0003891578,0.00002833574,0.001472541],"genre_scores_gemma":[0.9978901,0.0001196091,0.001136882,0.00004473927,0.000006601737,0.000007284732,0.0003656076,0.000009844255,0.0004193959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001545939,"threshold_uncertainty_score":0.005171657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321202877340023,"score_gpt":0.2277488472500961,"score_spread":0.2045368184766959,"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."}}