{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001319223,0.0003031838,0.0005922343,0.001136408,0.0001294739,0.00004048751,0.0001640268,0.0004093063,0.000495136],"category_scores_gemma":[0.0001024106,0.0002854249,0.0002187909,0.0005588998,0.00008087703,0.0001826403,0.0001098255,0.000326813,0.0005055904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000351273,"about_ca_system_score_gemma":0.0003252427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000799679,"about_ca_topic_score_gemma":0.003728397,"domain_scores_codex":[0.9973262,0.0008393012,0.0006591608,0.0005307653,0.00007717698,0.0005673716],"domain_scores_gemma":[0.9989471,0.0002592248,0.0001498075,0.0004315336,0.0001593146,0.00005296309],"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":[0.009191266,0.0001512309,0.02022551,0.00003283795,0.0004964889,0.000007149002,0.002366861,0.006773528,0.9603793,0.000180736,0.0000521472,0.0001429571],"study_design_scores_gemma":[0.002094073,0.0003557383,0.3481564,0.00001554407,0.0002868867,0.00008176456,0.0003110271,0.0009155108,0.6456323,0.00004063885,0.001812901,0.0002971512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954199,0.0002468186,0.002449336,0.0003086294,0.0007468493,0.000576086,0.0001632917,0.0000458373,0.00004323531],"genre_scores_gemma":[0.9967987,0.0000277017,0.0007966661,0.0004172389,0.0000185438,0.00003954195,0.0003513064,0.0000444245,0.001505865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3279309,"threshold_uncertainty_score":0.9999598,"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."}}