{"id":"W7117674957","doi":"10.1038/s41598-025-28653-8","title":"Comprehensive pathogen diagnostics in wild fish populations using blood-based molecular strategies: an Atlantic herring case study","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Institut National de la Recherche Scientifique","funders":"Canadian Glycomics Network; Fonds de recherche du Québec – Nature et technologies; Fisheries and Oceans Canada; Canada Research Chairs","keywords":"Transcriptome; Host (biology); Parasite hosting; Pathogen; Infectious hematopoietic necrosis virus; Herring; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009055113,0.0004116414,0.0002385722,0.0009205586,0.0008277273,0.0006957073,0.0002778547,0.0005315609,0.0005995167],"category_scores_gemma":[0.0008458651,0.0001315428,0.000259699,0.0004228278,0.0006655938,0.0002362058,0.0006603166,0.0004245425,0.0001476013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008488249,"about_ca_system_score_gemma":0.0006134795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02625307,"about_ca_topic_score_gemma":0.05689569,"domain_scores_codex":[0.9994224,0.00009056659,0.00003498889,0.0001401519,0.0001585691,0.0001532271],"domain_scores_gemma":[0.9996279,0.00007052039,0.00007203826,0.00002864784,0.0001219063,0.00007890545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002548772,0.000151036,0.8991532,0.0001408347,0.00007427955,0.01396333,0.002881081,0.000466302,0.05643175,0.0003034319,0.0008763793,0.02530363],"study_design_scores_gemma":[0.00001736511,0.001119971,0.9340503,0.000195192,0.0002476442,0.02393577,0.01008876,0.003944459,0.01798836,0.0006711863,0.007671568,0.0000693951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976591,0.0002698202,0.0008136084,0.000166144,0.000008192375,0.00002303744,0.0001749792,0.000009365227,0.0008757589],"genre_scores_gemma":[0.9959357,0.0003123269,0.002693125,0.0001998108,0.00001597171,0.0000150348,0.0002544312,0.00000628823,0.0005672446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02625307,"threshold_uncertainty_score":0.05220056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888253228049346,"score_gpt":0.3016080360109084,"score_spread":0.2727255037304149,"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."}}