{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000334073,0.0001164545,0.0001534425,0.00001211874,0.00005439429,0.00001565103,0.000120839,0.000160508,0.005206736],"category_scores_gemma":[0.00003202607,0.00006463667,0.00006316049,0.0002231764,0.00004760409,0.00003130614,0.00007534432,0.0001106439,0.00001700413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004683373,"about_ca_system_score_gemma":0.00003790027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002080702,"about_ca_topic_score_gemma":0.01419966,"domain_scores_codex":[0.9990043,0.0002051474,0.0001782976,0.0002924585,0.00009318887,0.0002266117],"domain_scores_gemma":[0.9997127,0.00005398218,0.00006010973,0.00006599537,0.00005085326,0.00005635128],"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":[0.000009253755,0.0001158833,0.2818862,0.000002356743,0.00002627042,0.00008844065,0.000158498,0.0001684478,0.7120798,0.0001592966,0.0002529757,0.005052569],"study_design_scores_gemma":[0.0002928981,0.0000744209,0.9894793,0.000002818181,0.00001547034,0.00002343075,0.00005063718,0.0002822569,0.003565003,0.001406745,0.004659683,0.0001473407],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978386,0.0001326691,0.00001901958,0.001098108,0.0001776319,0.0001283813,0.00003435163,0.00002052339,0.0005506852],"genre_scores_gemma":[0.9979144,0.00002384913,0.0005307927,0.0009579228,0.00004635699,0.00002204177,0.0002543523,0.00000195904,0.000248324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7085148,"threshold_uncertainty_score":0.9957026,"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."}}