{"id":"W4214834717","doi":"10.1038/s41598-022-07309-x","title":"Genotyping-in-Thousands by sequencing panel development and application for high-resolution monitoring of introgressive hybridization within sockeye salmon","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of Alberta; Freshwater Fisheries Society of British Columbia","keywords":"Backcrossing; Introgression; Oncorhynchus; Fish migration; Biology; Stocking; Otolith; Christian ministry; Genotyping; Fishery; Hybrid; Fish <Actinopterygii>; Genetics; Genotype; 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":[0.003409613,0.0006385272,0.0005287517,0.0009439201,0.0006842721,0.0008410945,0.0007180243,0.0005970798,0.002540111],"category_scores_gemma":[0.003837205,0.0005708049,0.0007408988,0.0008766255,0.0003760095,0.0003390111,0.0007468801,0.000984001,0.001208934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008097652,"about_ca_system_score_gemma":0.001755304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02694979,"about_ca_topic_score_gemma":0.09845218,"domain_scores_codex":[0.9983965,0.0003321478,0.00009338339,0.0005022584,0.000557626,0.0001181215],"domain_scores_gemma":[0.9977401,0.0005793666,0.0003532977,0.0002919317,0.0008322437,0.0002030403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009047607,0.0002960713,0.2362074,0.0005559281,0.0007297074,0.0005233979,0.001836197,0.05533609,0.502591,0.002795666,0.01619113,0.1820328],"study_design_scores_gemma":[0.0001588407,0.0007786471,0.330391,0.0001979069,0.0004562743,0.0005165061,0.0007125773,0.3240214,0.2896616,0.003530289,0.04924663,0.0003283572],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.475523,0.0005820986,0.4763566,0.0005750635,0.0002149179,0.001510195,0.02281938,0.0134405,0.008978254],"genre_scores_gemma":[0.4061234,0.0002733052,0.5750124,0.0006017784,0.00003576317,0.001459601,0.01089919,0.0007396462,0.004854847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02694979,"threshold_uncertainty_score":0.05358583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290482346353906,"score_gpt":0.2217131993561333,"score_spread":0.2088083758925943,"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."}}