{"id":"W2785457829","doi":"10.1534/g3.118.200053","title":"Genomic Predictions and Genome-Wide Association Study of Resistance Against <i>Piscirickettsia salmonis</i> in Coho Salmon ( <i>Oncorhynchus kisutch</i> ) Using ddRAD Sequencing","year":2018,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Ministerio de Economía, Fomento y Turismo, Chile; Genome Canada; Universidad de Chile; Government of Canada; Genome British Columbia; Newton Fund","keywords":"Biology; Genotyping; Genetics; Single-nucleotide polymorphism; Genome; Population; Oncorhynchus; Genome-wide association study; Genotype; Gene; Fishery; Fish <Actinopterygii>","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004242188,0.0003678318,0.0005208973,0.0002863394,0.0003745535,0.00004530183,0.0003403604,0.0002823186,0.00003826869],"category_scores_gemma":[0.00001484124,0.0003879717,0.00009075363,0.0004778462,0.0002313625,0.00008763553,0.0002962647,0.0002228026,0.00003972733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005287536,"about_ca_system_score_gemma":0.0001534265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001257027,"about_ca_topic_score_gemma":0.001404562,"domain_scores_codex":[0.9975791,0.000288772,0.0007571062,0.0006546021,0.0001088277,0.0006115839],"domain_scores_gemma":[0.9986334,0.0001032409,0.0005057754,0.0004968967,0.0002046884,0.00005601578],"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":[0.0001085503,0.0002373291,0.3693753,0.00006361339,0.0003851201,0.00001030167,0.0045741,0.0005219115,0.6189488,0.000006447694,0.0005507234,0.005217776],"study_design_scores_gemma":[0.01049565,0.001384925,0.5763237,0.0002072336,0.00176381,0.00002125243,0.02183706,0.0002647306,0.05165663,0.0001816967,0.3335806,0.00228272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8580594,0.1392187,0.0001691432,0.00005203202,0.0003695149,0.0009001216,0.0001017691,0.00005445156,0.001074906],"genre_scores_gemma":[0.9864967,0.0111604,0.00048634,0.0002453031,0.0001382113,0.00002636308,0.0001471347,0.00004959713,0.001249904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5672922,"threshold_uncertainty_score":0.9998572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613099934648582,"score_gpt":0.2400982079686214,"score_spread":0.2239672086221355,"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."}}