{"id":"W2035040820","doi":"10.1016/j.fsi.2008.03.010","title":"Immunological responses of turbot (Psetta maxima) to nodavirus infection or polyriboinosinic polyribocytidylic acid (pIC) stimulation, using expressed sequence tags (ESTs) analysis and cDNA microarrays","year":2008,"lang":"en","type":"article","venue":"Fish & Shellfish Immunology","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Institute for Marine Biosciences","funders":"","keywords":"Biology; Turbot; Complementary DNA; cDNA library; Gene; Microarray; Expressed sequence tag; Gene expression; Molecular biology; Microarray analysis techniques; Gene expression profiling; DNA microarray; Virology; Genetics; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0000823677,0.0002642336,0.0001878229,0.0001970433,0.0001570246,0.0002361169,0.00009003768,0.0002421615,0.001019749],"category_scores_gemma":[0.0001218822,0.0001375443,0.0002392836,0.0001607184,0.0001950579,0.0001490538,0.0001487738,0.0004257816,0.0004367474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886292,"about_ca_system_score_gemma":0.0001002429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007529448,"about_ca_topic_score_gemma":0.001122398,"domain_scores_codex":[0.999921,0.000009732275,0.000004832265,0.00002364281,0.00001303858,0.00002774686],"domain_scores_gemma":[0.9999138,0.00002195848,0.00001582793,0.000006566439,0.0000142204,0.00002765935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001827048,0.00001148085,0.0006137074,0.00001162759,0.00000319294,0.00001929369,0.00001743365,0.0000167148,0.998789,0.000012301,0.00001821506,0.0003043246],"study_design_scores_gemma":[0.00004179436,0.001442391,0.3267254,0.000009809413,0.0001012009,0.0005538655,0.0002567826,0.001528575,0.667387,0.00009098248,0.001843663,0.0000185633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982363,0.0001281511,0.0004141162,0.00003059359,0.00001417556,0.000009230964,0.000422489,0.00001025794,0.0007346621],"genre_scores_gemma":[0.9905233,0.0002789853,0.0009430838,0.0001277307,0.00002565684,0.00005746798,0.00238912,0.00001711672,0.005637582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001019749,"threshold_uncertainty_score":0.003411412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05051946246057724,"score_gpt":0.2870045665616126,"score_spread":0.2364851041010354,"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."}}