{"id":"W4225283364","doi":"10.1101/2022.04.27.489786","title":"Temperature-dependent gene regulatory divergence underlies local adaptation with gene flow in the Atlantic silverside","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Science Foundation","keywords":"Biology; Gene flow; Local adaptation; Adaptation (eye); Gene; Regulation of gene expression; Gene expression; Gene regulatory network; Evolutionary biology; Genetics; Divergence (linguistics); Functional divergence; Gene family; Genetic variation; Population; Neuroscience","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":[0.0001127444,0.0001677584,0.0002304256,0.00039391,0.000239439,0.0003437436,0.0001609476,0.0002264292,0.0008842929],"category_scores_gemma":[0.0001669782,0.0001288856,0.0002554254,0.0002733899,0.0003189152,0.0001342142,0.0004549766,0.0003700069,0.0001446337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002751684,"about_ca_system_score_gemma":0.0002112966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003706457,"about_ca_topic_score_gemma":0.008497017,"domain_scores_codex":[0.9998853,0.000006108058,0.000005548714,0.00006016932,0.00002085588,0.00002193278],"domain_scores_gemma":[0.9998827,0.00002136133,0.00003916052,0.00001272287,0.00002031983,0.00002376057],"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":[0.0001082758,0.000009671547,0.02791093,0.0000342654,0.00002286121,0.00006780093,0.0001736898,0.0001632418,0.9689408,0.0000812507,0.00003619127,0.002451068],"study_design_scores_gemma":[0.000008299507,0.00006297266,0.9703466,0.00001548522,0.0000398653,0.0001771203,0.0002639668,0.001476363,0.02658394,0.0001951663,0.0008130494,0.00001714381],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989796,0.00006789928,0.0004841273,0.00001253257,0.000002134559,0.000001945005,0.0001773551,0.00001366004,0.0002606343],"genre_scores_gemma":[0.9984648,0.00004353204,0.0005351353,0.00003730712,0.000002921287,0.000007444749,0.0004988307,0.00001623702,0.0003936881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003706457,"threshold_uncertainty_score":0.007369757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063364144397818,"score_gpt":0.1957037711915152,"score_spread":0.185070129747537,"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."}}