{"id":"W3014713714","doi":"10.1101/2020.04.05.026443","title":"Thermal adaptation rather than demographic history drives genetic structure inferred by copy number variants in a marine fish","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Université Laval","funders":"","keywords":"Biology; Copy-number variation; Demographic history; Local adaptation; Genetics; Evolutionary biology; Genetic variation; Population; Structural variation; Population genomics; Genetic structure; Reproductive isolation; Single-nucleotide polymorphism; Genomics; Gene; Genotype; Genome","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":[0.0004275829,0.000181806,0.0002528703,0.001308491,0.0003248757,0.0003592793,0.000253591,0.0002648591,0.001364268],"category_scores_gemma":[0.001456282,0.0001651278,0.0004223778,0.0008206876,0.0004606693,0.0002630341,0.0003893703,0.000219016,0.0001272547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003246853,"about_ca_system_score_gemma":0.000185986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006069065,"about_ca_topic_score_gemma":0.009094203,"domain_scores_codex":[0.9996743,0.00004118056,0.00002624572,0.0001772522,0.00004783123,0.00003330838],"domain_scores_gemma":[0.9993621,0.0002457027,0.000207795,0.00006354912,0.00006261694,0.00005829204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002359786,0.0000210556,0.8054339,0.00007841481,0.0003439079,0.0004131676,0.0006811179,0.001404878,0.1803082,0.0004409841,0.0001179252,0.01052053],"study_design_scores_gemma":[0.00000557737,0.00003341071,0.9941379,0.00000761616,0.00007633011,0.0002240845,0.0001064155,0.002765088,0.002149235,0.0002476041,0.0002339241,0.00001278098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982215,0.00008982351,0.001174474,0.00001585736,0.000002223195,0.000004029547,0.0002352013,0.00001105636,0.0002458869],"genre_scores_gemma":[0.9990922,0.00002363491,0.0005833605,0.00001012421,0.000002410719,0.000004544971,0.0001758834,0.000004851051,0.000103015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006069065,"threshold_uncertainty_score":0.0120675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374457027609895,"score_gpt":0.1878886841874664,"score_spread":0.1741441139113675,"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."}}