{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001221064,0.000672159,0.0004750802,0.001218025,0.0004158369,0.001216257,0.0005845284,0.0006751177,0.008429482],"category_scores_gemma":[0.0005691458,0.0002143332,0.0003355873,0.001077159,0.000938589,0.0008745343,0.0009643018,0.0008684749,0.002336308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008138372,"about_ca_system_score_gemma":0.0007353654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002840029,"about_ca_topic_score_gemma":0.00525644,"domain_scores_codex":[0.9997813,0.00004780698,0.000008905183,0.00005180982,0.00008555112,0.0000245506],"domain_scores_gemma":[0.9997051,0.0001163748,0.00002565981,0.00004739407,0.00006651993,0.00003891568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002773595,0.0001602746,0.004765837,0.0005510736,0.00004177925,0.0003251276,0.000164009,0.001727481,0.3933057,0.02066436,0.01092231,0.5670946],"study_design_scores_gemma":[0.00006959393,0.0005036965,0.04111848,0.0002645139,0.0001325247,0.001709056,0.0004979636,0.0120661,0.4531861,0.06774949,0.4225871,0.0001155605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1675964,0.1260653,0.3181469,0.02225288,0.001172088,0.0004024352,0.005066581,0.002342184,0.3569552],"genre_scores_gemma":[0.4060148,0.1281089,0.2813656,0.003993527,0.0008135437,0.000378132,0.002318359,0.0004332838,0.1765739],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008429482,"threshold_uncertainty_score":0.02819937,"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."}}