{"id":"W2981572045","doi":"10.1186/s12864-019-6102-6","title":"Transcriptomic analysis of Macrobrachium rosenbergii (giant fresh water prawn) post-larvae in response to M. rosenbergii nodavirus (MrNV) infection: de novo assembly and functional annotation","year":2019,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Invertebrate Immune Response Mechanisms","field":"Immunology and Microbiology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Strategic Wisdom and Research Institute, Srinakharinwirot University; Natural Sciences and Engineering Research Council of Canada","keywords":"Macrobrachium rosenbergii; Biology; Prawn; Transcriptome; Virology; Larva; Shellfish; Zoology; Fishery; Genetics; Gene; Aquatic animal; Ecology; Fish <Actinopterygii>; Gene expression","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":[0.0002595967,0.0006898584,0.0009281403,0.0007988947,0.0006231456,0.0008608854,0.0003274653,0.0004498346,0.0009935115],"category_scores_gemma":[0.0004458873,0.0003324445,0.001186165,0.001076655,0.0002510434,0.0004263611,0.0005830658,0.0007254018,0.0008126256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003537826,"about_ca_system_score_gemma":0.0007148291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001884616,"about_ca_topic_score_gemma":0.003928768,"domain_scores_codex":[0.9997789,0.00001232108,0.00001536734,0.00009953549,0.00005630684,0.00003758098],"domain_scores_gemma":[0.9997419,0.00005963596,0.00005459023,0.00002204816,0.00008342065,0.00003840265],"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":[0.000328813,0.00004802236,0.006352696,0.0006150991,0.00005623273,0.0004935421,0.0003002578,0.0008019375,0.9819181,0.0001273331,0.0004008753,0.008557166],"study_design_scores_gemma":[0.00014026,0.001839576,0.5260801,0.0005796682,0.001701956,0.003569841,0.001882765,0.04169277,0.3552897,0.001625276,0.06535907,0.0002389934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328678,0.004121215,0.02049113,0.0002444042,0.0001089232,0.0002163491,0.03977229,0.000526426,0.001651417],"genre_scores_gemma":[0.7120269,0.005831165,0.08788459,0.0002886934,0.0001118245,0.0005258767,0.1859465,0.0006208972,0.00676366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001884616,"threshold_uncertainty_score":0.003747344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103433737510148,"score_gpt":0.2230990442503336,"score_spread":0.2127556704993188,"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."}}