{"id":"W3154806343","doi":"10.22541/au.161842590.09830459/v1","title":"Blue whale (Balaenoptera musculus musculus) genome: population structure and history in the North Atlantic","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Royal Ontario Museum","funders":"National Museum of Natural History; Norsk Polarinstitutt; Norges Forskningsråd; Universitetet i Oslo; Universitetet i Bergen; Norges Teknisk-Naturvitenskapelige Universitet; Compute Canada; Trond Mohn stiftelse; Norges Miljø- og Biovitenskapelige Universitet; University of Toronto; GlaxoSmithKline; Hospital for Sick Children; Smithsonian Institution","keywords":"Biology; Whale; Population genomics; Population; Balaenoptera; Endangered species; Whaling; Evolutionary biology; Genetic diversity; Genomics; Zoology; Genome; Fishery; Ecology; Genetics; Gene","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":[0.0001562673,0.0001247076,0.0001582132,0.000588085,0.000420506,0.000301637,0.0001703343,0.000250167,0.0007719285],"category_scores_gemma":[0.0003624824,0.00013612,0.00027679,0.0007468399,0.0001285495,0.0002017803,0.0002776461,0.0002525896,0.0002091258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003333144,"about_ca_system_score_gemma":0.0003319454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0227341,"about_ca_topic_score_gemma":0.05367371,"domain_scores_codex":[0.9999058,0.000006031151,0.000005937517,0.00004915842,0.0000176373,0.00001535003],"domain_scores_gemma":[0.9998362,0.00003244049,0.00004577731,0.0000144241,0.00004189496,0.00002929228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003618792,0.0000752436,0.5052138,0.0004476409,0.000359961,0.000981965,0.003518601,0.002282784,0.4242504,0.0006382357,0.001725483,0.06014399],"study_design_scores_gemma":[0.000004391866,0.00002342707,0.9944536,0.00001794095,0.00005075481,0.0001830303,0.0002105981,0.0007551783,0.0009877125,0.00009644909,0.003207419,0.000009553405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944139,0.0005787374,0.0008552323,0.0001062855,0.000006539894,0.000006782628,0.003301094,0.00002347704,0.0007079482],"genre_scores_gemma":[0.9797962,0.0008091601,0.003256527,0.0001141142,0.00001466547,0.00002977042,0.0149435,0.00003456025,0.001001617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0227341,"threshold_uncertainty_score":0.04520357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397430721611257,"score_gpt":0.2092706455666936,"score_spread":0.1952963383505811,"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."}}