{"id":"W3020190097","doi":"10.1139/facets-2019-0048","title":"A molecular assessment of infectious agents carried by Atlantic salmon at sea and in three eastern Canadian rivers, including aquaculture escapees and North American and European origin wild stocks","year":2020,"lang":"en","type":"article","venue":"FACETS","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Fisheries and Oceans Canada; University of British Columbia","funders":"","keywords":"Salmo; Aquaculture; Biology; Population; Fishery; Ecology; Host (biology); Transmission (telecommunications); Phylogenetic tree; Zoology; Fish <Actinopterygii>; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000558337,0.0001964508,0.0002728272,0.00006307152,0.000120891,0.00002294239,0.00009305626,0.00005587262,0.00001598666],"category_scores_gemma":[0.00001163258,0.0001782634,0.0000260024,0.0001433052,0.0001747624,0.00005515222,0.0002203173,0.0001680557,0.00000801811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005900143,"about_ca_system_score_gemma":0.00002483925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02165215,"about_ca_topic_score_gemma":0.1209221,"domain_scores_codex":[0.9990857,0.0001221157,0.0001595403,0.0003374682,0.00003328867,0.0002618562],"domain_scores_gemma":[0.9996679,0.00001027887,0.00009873295,0.00009521297,0.00001831702,0.0001095158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003266469,0.00002163936,0.9315495,0.00004939548,0.0001591809,0.00004307869,0.001428236,0.000009364141,0.0638675,0.00001163632,0.002091574,0.0007361954],"study_design_scores_gemma":[0.001952948,0.0001845132,0.9774243,0.0000456799,0.0001327635,0.00001492782,0.0005480224,0.00009063535,0.0008173283,0.000002130696,0.01847309,0.0003136562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976516,0.000981301,0.00002074439,0.0003581125,0.00003144611,0.0003298973,0.0001563499,0.00002255001,0.0004479714],"genre_scores_gemma":[0.9990124,0.0001272129,0.00001915721,0.0004007781,0.000005496009,0.00000382493,0.0003469124,0.00001564584,0.00006856611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09926999,"threshold_uncertainty_score":0.9848627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418754289174995,"score_gpt":0.238315955057581,"score_spread":0.2241284121658311,"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."}}