{"id":"W3128986930","doi":"10.1111/mec.15835","title":"Thermal adaptation rather than demographic history drives genetic structure inferred by copy number variants in a marine fish","year":2021,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Fisheries and Oceans Canada; Université du Québec à Chicoutimi; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Pinngortitaleriffik","keywords":"Biology; Copy-number variation; Local adaptation; Demographic history; Genetics; Evolutionary biology; Genetic variation; Population; Reproductive isolation; Population genomics; Single-nucleotide polymorphism; Structural variation; Genomics; Gene; Genome; Genotype","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003604545,0.0001781174,0.0002294877,0.001354387,0.0002532599,0.0003568162,0.0002510922,0.0002948677,0.0009348762],"category_scores_gemma":[0.001434423,0.0001793261,0.0003758761,0.0009000294,0.000461809,0.0002795935,0.0003112817,0.0001808915,0.0001289583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003492614,"about_ca_system_score_gemma":0.0001610911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005477518,"about_ca_topic_score_gemma":0.007452202,"domain_scores_codex":[0.9996897,0.00003291819,0.00002559328,0.0001743807,0.00004944425,0.00002793014],"domain_scores_gemma":[0.9994051,0.0002348961,0.0002112819,0.00004996327,0.00004915733,0.00004957549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000250313,0.00001704001,0.7201463,0.00008784993,0.0002444825,0.0005525153,0.0008402063,0.00128942,0.2628497,0.0003614889,0.00008258469,0.01327818],"study_design_scores_gemma":[0.0000068217,0.00003579538,0.9935749,0.000007598218,0.00006708325,0.0003437043,0.0001018045,0.002300932,0.003045732,0.0002453648,0.0002556367,0.00001459534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998359,0.000111884,0.001025392,0.00001489683,0.000001531859,0.000003660282,0.0001788151,0.00001141194,0.0002933576],"genre_scores_gemma":[0.9988569,0.00004897617,0.0007415992,0.00001505558,0.000002983477,0.000005374968,0.000206515,0.000005053371,0.0001176007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005477518,"threshold_uncertainty_score":0.01089126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006929239449020423,"score_gpt":0.1869881579279821,"score_spread":0.1800589184789616,"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."}}