{"id":"W2021487333","doi":"10.1016/j.dci.2004.08.004","title":"Identification of genes differentially expressed in Atlantic salmon (Salmo salar) in response to infection by Aeromonas salmonicida using cDNA microarray technology","year":2004,"lang":"en","type":"article","venue":"Developmental & Comparative Immunology","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":121,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Institute for Marine Biosciences","funders":"","keywords":"Biology; Aeromonas salmonicida; Salmo; Suppression subtractive hybridization; Innate immune system; Microarray; Gene; Complementary DNA; Microarray analysis techniques; Gene expression profiling; Immune system; Gene chip analysis; Genetics; Microbiology; Gene expression; cDNA library; Fishery; Bacteria; Fish <Actinopterygii>","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":[0.000150207,0.0003743225,0.0004990634,0.0004218716,0.0003495916,0.000346176,0.0001349205,0.0003964962,0.0009427992],"category_scores_gemma":[0.0002099325,0.000249024,0.0004813374,0.0005193457,0.0002533954,0.000243211,0.0002237858,0.0005931443,0.0004349739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003148492,"about_ca_system_score_gemma":0.0005051235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003231647,"about_ca_topic_score_gemma":0.005040356,"domain_scores_codex":[0.999867,0.000009559534,0.00001055185,0.00003538146,0.00003329466,0.00004427274],"domain_scores_gemma":[0.999814,0.00005661412,0.00003033527,0.00001179032,0.00005055197,0.00003668],"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":[0.0001114813,0.00001507826,0.000712491,0.00003271111,0.000005250626,0.00002655102,0.00002150015,0.00002864005,0.998489,0.00002045225,0.00003221746,0.0005045588],"study_design_scores_gemma":[0.00006784095,0.001209192,0.3459609,0.00003293184,0.0001680496,0.0006058211,0.0006279689,0.00281314,0.6437747,0.0001605508,0.004545297,0.000033627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899995,0.0009813525,0.002351071,0.0002331766,0.00006999462,0.00006278168,0.004828759,0.00004522607,0.001428243],"genre_scores_gemma":[0.9594557,0.002199585,0.009401567,0.0005566792,0.00008778468,0.0003530887,0.01683351,0.00004191615,0.01107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003231647,"threshold_uncertainty_score":0.006425679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577461045007605,"score_gpt":0.2657269017367919,"score_spread":0.2499522912867158,"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."}}