{"id":"W4404473511","doi":"10.1111/1755-0998.14040","title":"Development of <scp>SNP</scp> Panels from Low‐Coverage Whole Genome Sequencing (<scp>lcWGS</scp>) to Support Indigenous Fisheries for Three Salmonid Species in Northern Canada","year":2024,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Concordia University; Université Laval","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Concordia University; Government of Canada; Ontario Genomics Institute; Génome Québec; Université Laval; Polar Knowledge Canada; Mitacs; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Genome Canada; Ontario Genomics","keywords":"Salvelinus; Biology; Fishery; Population; Arctic char; Indigenous; Stock assessment; Trout; Bay; SNP genotyping; Ecology; Single-nucleotide polymorphism; Geography; Fishing; Genotype; Genetics; Demography; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003542074,0.0003258872,0.0004894443,0.0001430481,0.0003147373,0.00004955158,0.0005224635,0.0001511388,0.0001139748],"category_scores_gemma":[0.0002097382,0.0003313083,0.00008220771,0.0003286818,0.0002205775,0.0001127786,0.0006475344,0.0001995976,0.0001079691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008541576,"about_ca_system_score_gemma":0.0002517891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02121223,"about_ca_topic_score_gemma":0.9531248,"domain_scores_codex":[0.9976048,0.00006617107,0.0005430845,0.000695768,0.0002993769,0.0007908412],"domain_scores_gemma":[0.9990147,0.0004308885,0.0001337228,0.0002889695,0.00001824261,0.0001135123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001050245,0.000101744,0.9248899,0.0001438901,0.0004185969,0.0009067787,0.03181099,0.006637722,0.02772472,0.00002079193,0.006418208,0.0009161174],"study_design_scores_gemma":[0.0002482039,0.0001597788,0.8087909,0.0000227836,0.00004643168,0.000004561499,0.00319362,0.00004282187,0.005544954,0.000429571,0.181406,0.0001104293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928536,0.000167243,0.0007651147,0.0002710796,0.0002569791,0.0009020371,0.0001401173,0.00005238229,0.00459149],"genre_scores_gemma":[0.9950681,0.00001236075,0.001126643,0.001112146,0.00003520991,0.0003044424,0.00008813843,0.00004449438,0.002208473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9319125,"threshold_uncertainty_score":0.9999139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179746456725566,"score_gpt":0.1950968193652873,"score_spread":0.1832993547980316,"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."}}