{"id":"W2923882800","doi":"10.1101/589200","title":"Comparative genomic analysis of three salmonid species identifies functional candidate genes involved in resistance to the intracellular bacteria <i>Piscirickettsia salmonis</i>","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":0,"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; SNP; Candidate gene; Single-nucleotide polymorphism; Gene; Quantitative trait locus; Genetic architecture; 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":[0.0002121797,0.0002158354,0.0002845755,0.0006408053,0.0002399201,0.0001921471,0.0001331926,0.0002197993,0.001205273],"category_scores_gemma":[0.0002441662,0.0001460903,0.0004584101,0.0006375135,0.0002191299,0.00005929821,0.0003273782,0.0001898821,0.0001416622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002097583,"about_ca_system_score_gemma":0.0002209198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003423065,"about_ca_topic_score_gemma":0.00662884,"domain_scores_codex":[0.9998499,0.00002119915,0.00001328361,0.00007040493,0.00002328196,0.00002193753],"domain_scores_gemma":[0.9997824,0.00006437515,0.00006797122,0.000009461844,0.0000321601,0.000043702],"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":[0.0008150385,0.00007048371,0.1515249,0.0001208789,0.0002188651,0.0002148342,0.0002387451,0.0004123703,0.8407977,0.000108098,0.0001473554,0.005330609],"study_design_scores_gemma":[0.00002048991,0.0001539445,0.9953968,0.000005461878,0.00005786456,0.0001161446,0.00008443342,0.0006972402,0.003205577,0.00003007066,0.0002272914,0.000004652083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989078,0.00006665699,0.0002935908,0.00001076393,0.000001121322,0.000005630144,0.0005624997,0.000005084282,0.0001469721],"genre_scores_gemma":[0.9965613,0.00004525468,0.000936317,0.00003709238,0.000002037165,0.00002219857,0.002134576,0.000005643669,0.0002555714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003423065,"threshold_uncertainty_score":0.006806254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920883482886905,"score_gpt":0.2145547841673439,"score_spread":0.1953459493384748,"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."}}