{"id":"W1554340122","doi":"10.1002/9780470963159.ch6","title":"The Application of Genomics, Proteomics, and Metabolomics to Studies of Fish Health","year":2011,"lang":"en","type":"other","venue":"","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Metabolomics; Fish <Actinopterygii>; Genomics; Proteomics; Computational biology; Biology; Computer science; Bioinformatics; Genome; Genetics; Fishery; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002763521,0.0001023904,0.0002065543,0.00005267406,0.00004218313,0.000005594932,0.0001826331,0.0001009979,0.00001124737],"category_scores_gemma":[0.00005672287,0.00007802742,0.00003930248,0.00004664656,0.0001681547,5.523395e-7,0.00008183071,0.00003258359,0.000006399815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000626956,"about_ca_system_score_gemma":0.00006574627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001093928,"about_ca_topic_score_gemma":0.0005411123,"domain_scores_codex":[0.9992663,0.00003828385,0.0003249536,0.0002304191,0.0000556962,0.00008434429],"domain_scores_gemma":[0.9988877,0.000007400628,0.0004581749,0.000488313,0.0001235774,0.00003483691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003986105,0.00005757832,0.00005960822,0.0002476761,0.0003682937,6.958526e-9,0.0002338582,9.804291e-7,0.1520158,0.01834242,0.82135,0.007283885],"study_design_scores_gemma":[0.00008696503,0.00005678848,0.0001119577,0.0000114497,0.0000141442,4.289994e-7,0.000197115,0.000002015885,0.1382207,0.00005539049,0.8611642,0.00007890844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05064834,0.16972,0.2901894,0.02556716,0.005280224,0.03245703,0.004202421,0.0003505546,0.4215849],"genre_scores_gemma":[0.03964309,0.06239934,0.02874089,0.001557906,0.0004122595,0.0005545574,0.0005716007,0.0004470061,0.8656734],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4440885,"threshold_uncertainty_score":0.3181866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03625929483852969,"score_gpt":0.3135639354631985,"score_spread":0.2773046406246688,"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."}}