{"id":"W2966361747","doi":"10.3389/fgene.2019.00665","title":"Comparative Genomic Analysis of Three Salmonid Species Identifies Functional Candidate Genes Involved in Resistance to the Intracellular Bacterium Piscirickettsia salmonis","year":2019,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fondo de Fomento al Desarrollo Científico y Tecnológico; Comisión Nacional de Investigación Científica y Tecnológica; Fundação de Amparo à Pesquisa do Estado de São Paulo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Genome British Columbia; Government of Canada; Ministerio de Economía, Fomento y Turismo, Chile; Universidad de Chile; Genome Canada","keywords":"Biology; Salmo; Genetics; Single-nucleotide polymorphism; SNP; Candidate gene; Gene; Zoology; Genotype; Fishery; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002116003,0.0002308221,0.0003331031,0.0006646709,0.0002556038,0.0001877398,0.0001379099,0.0002333178,0.000954082],"category_scores_gemma":[0.0002894797,0.0001612362,0.0004648216,0.0008013147,0.0002628757,0.00007215677,0.0003740004,0.0002198993,0.0001370838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002794085,"about_ca_system_score_gemma":0.0003024418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003004269,"about_ca_topic_score_gemma":0.00652653,"domain_scores_codex":[0.9998191,0.00002116325,0.00001555997,0.00008498367,0.00003040053,0.0000287897],"domain_scores_gemma":[0.99978,0.00006621736,0.00006243469,0.00001161328,0.00003294453,0.00004684332],"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":[0.0009169898,0.00007933415,0.1101084,0.0001471908,0.0001687567,0.0002231364,0.0003611711,0.0003305437,0.880043,0.0001191411,0.000120131,0.007382077],"study_design_scores_gemma":[0.00002356662,0.0001911096,0.9952503,0.000005747124,0.00005404975,0.0001587786,0.00009999023,0.0005115058,0.003362115,0.00003684776,0.0003008521,0.000005026072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987202,0.00009256685,0.0003024713,0.00001064826,0.000001042695,0.000008099114,0.0006717778,0.00000515008,0.000188056],"genre_scores_gemma":[0.9940581,0.00009623821,0.001587822,0.00005114684,0.000002488333,0.00003900085,0.00378735,0.000006789558,0.0003710142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003004269,"threshold_uncertainty_score":0.005973577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462190795681322,"score_gpt":0.216269810319582,"score_spread":0.2016479023627687,"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."}}