{"id":"W2040153440","doi":"10.1021/pr049840t","title":"Application of Isotope Coded Affinity Tag (ICAT) Analysis for the Identification of Differentially Expressed Proteins Following Infection of Atlantic Salmon (<i>Salmo </i><i>s</i><i>alar)</i> with Infectious Hematopoietic Necrosis Virus (IHNV) or <i>Renibacterium </i><i>s</i><i>almoninarum</i> (BKD)","year":2005,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"","keywords":"Salmo; Infectious hematopoietic necrosis virus; Biology; Proteomics; Haematopoiesis; Molecular biology; Computational biology; Biochemistry; Gene; Cell biology; Fishery; Fish <Actinopterygii>; Rainbow trout; Stem cell","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":[0.003069728,0.0003457319,0.001071852,0.0008925813,0.0003694007,0.00007046325,0.000777129,0.0002881292,0.00007089895],"category_scores_gemma":[0.0004049903,0.0002222183,0.0007743379,0.001960698,0.0004934649,0.0004004927,0.0001980596,0.0006453195,0.000009105646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001238023,"about_ca_system_score_gemma":0.0002772843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006224444,"about_ca_topic_score_gemma":0.0004394333,"domain_scores_codex":[0.9959959,0.0006705064,0.00186346,0.0004369793,0.0004837682,0.0005493704],"domain_scores_gemma":[0.994521,0.0005568122,0.00243686,0.0007713937,0.001641536,0.00007240291],"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":[0.003224665,0.001366375,0.01456779,0.0006860564,0.002755081,0.000002383177,0.0006703672,0.0003734654,0.9751666,0.00007712278,0.0003864475,0.0007236807],"study_design_scores_gemma":[0.003344285,0.001325107,0.01963574,0.0002862749,0.002256673,0.00002722107,0.0001902474,0.0001022158,0.9700829,0.00009293388,0.002401771,0.0002546531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487953,0.0008820872,0.04574339,0.0004501506,0.0001228521,0.003824186,0.0001181157,0.00002793822,0.00003599016],"genre_scores_gemma":[0.9979235,0.0004084255,0.0006148604,0.000017915,0.0000779743,0.0004768337,0.0001091137,0.00004404866,0.0003273257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04912821,"threshold_uncertainty_score":0.9061798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300334029474501,"score_gpt":0.2951052180273879,"score_spread":0.2721018777326429,"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."}}