{"id":"W2800545870","doi":"10.3389/fimmu.2018.01105","title":"Mechanisms of Fish Macrophage Antimicrobial Immunity","year":2018,"lang":"en","type":"review","venue":"Frontiers in Immunology","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; China Scholarship Council; George Washington University","keywords":"Biology; Macrophage; Immunity; Fish <Actinopterygii>; Aquaculture; Immune system; Antimicrobial; Macrophage polarization; Innate immune system; Overcrowding; Immunology; Zoology; Ecology; Microbiology; Fishery; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003299054,0.0004498044,0.0004938085,0.0008852033,0.0002211843,0.000841262,0.0004082816,0.0006940243,0.001564083],"category_scores_gemma":[0.0002405048,0.0001112851,0.0002512297,0.0004457958,0.0004197815,0.0007323324,0.0006253661,0.0007810902,0.0008060406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003971493,"about_ca_system_score_gemma":0.0008696698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000411106,"about_ca_topic_score_gemma":0.0004871816,"domain_scores_codex":[0.9998729,0.00002169912,0.00001285946,0.000024202,0.00004546838,0.00002288776],"domain_scores_gemma":[0.9999081,0.00002062215,0.00001995221,0.000002895375,0.00003294982,0.0000156347],"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":[0.0001474986,0.00006062864,0.001097143,0.01473814,0.00007228981,0.0006367579,0.0002966229,0.0005633894,0.06536866,0.01606775,0.01966525,0.8812857],"study_design_scores_gemma":[0.00001308415,0.0001808333,0.003731869,0.002434714,0.00006842086,0.002517883,0.0002161649,0.0001863293,0.009161177,0.005561222,0.9759035,0.00002476367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001407404,0.9939388,0.0006515292,0.0006187573,0.0002283674,0.0000105205,0.0000394147,0.00001789722,0.00308728],"genre_scores_gemma":[0.009949647,0.986574,0.0006251036,0.0003124698,0.0002423914,0.00002111384,0.00006024504,0.000002663792,0.002212257],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001564083,"threshold_uncertainty_score":0.005232394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377003463470008,"score_gpt":0.2521755115617313,"score_spread":0.2384054769270313,"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."}}