{"id":"W2992013468","doi":"10.3390/cells8121592","title":"Dietary Immunostimulant CpG Modulates MicroRNA Biomarkers Associated with Immune Responses in Atlantic Salmon (Salmo salar)","year":2019,"lang":"en","type":"article","venue":"Cells","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd; Research and Development Corporation of Newfoundland and Labrador; Genome Canada","keywords":"Immunostimulant; Biology; microRNA; Immune system; CpG site; Salmo; Aeromonas salmonicida; Gene expression; Molecular biology; Deep sequencing; Gene; Genetics; Fish <Actinopterygii>; Fishery; Genome; DNA methylation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002493541,0.0002349695,0.000243478,0.0001032677,0.0000402085,0.0000285709,0.0002100496,0.000197856,0.00006491529],"category_scores_gemma":[0.00006406914,0.0002128552,0.0001029971,0.0001832389,0.00007577256,0.000007979433,0.00009860152,0.00009899124,0.00007432586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005921886,"about_ca_system_score_gemma":0.00008662912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001172287,"about_ca_topic_score_gemma":0.00002869081,"domain_scores_codex":[0.9986227,0.0001593349,0.0002978624,0.0004324114,0.0001406564,0.000347061],"domain_scores_gemma":[0.9991583,0.00005851467,0.000152723,0.0005023848,0.00006540075,0.00006273267],"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":[0.0008371035,0.0001192624,0.03760968,0.00003013664,0.0001711902,0.00002364359,0.00002810842,0.0002988124,0.9604017,0.000001208601,0.0002874869,0.000191658],"study_design_scores_gemma":[0.001158173,0.0002125686,0.3868295,0.0001416099,0.00003335309,0.000008639204,0.00002414543,0.0004375171,0.6103449,0.00001213672,0.000509112,0.0002883241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972079,0.001902678,0.00001733102,0.0000605125,0.0001414738,0.0004301417,0.00003537258,0.00002426708,0.000180354],"genre_scores_gemma":[0.9982526,0.0001079283,0.00017859,0.00005072044,0.00002930186,0.00001357388,0.0006788545,0.00004785624,0.0006405945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3500568,"threshold_uncertainty_score":0.8679985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006747538494826437,"score_gpt":0.2175918659631238,"score_spread":0.2108443274682974,"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."}}