{"id":"W1921831826","doi":"10.1016/j.vetimm.2015.10.014","title":"Dogs cast NETs too: Canine neutrophil extracellular traps in health and immune-mediated hemolytic anemia","year":2015,"lang":"en","type":"article","venue":"Veterinary Immunology and Immunopathology","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Musculoskeletal Health and Arthritis","keywords":"Neutrophil extracellular traps; Extracellular; Hemolysis; Molecular biology; Immune system; Biology; Neutrophil elastase; Antibody; Haptoglobin; Immunology; Internal medicine; Andrology; Endocrinology; Medicine; Biochemistry; Inflammation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005833638,0.000376387,0.0002500344,0.0006471607,0.0003544073,0.0006900852,0.0002299237,0.001363425,0.002008497],"category_scores_gemma":[0.0004663232,0.0002265771,0.0001768766,0.0001928197,0.0007079013,0.0007984982,0.0003156084,0.0007481428,0.0003107367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004812238,"about_ca_system_score_gemma":0.000342152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319978,"about_ca_topic_score_gemma":0.002335479,"domain_scores_codex":[0.9998282,0.00004988446,0.00001128174,0.00002301858,0.00003959285,0.00004793354],"domain_scores_gemma":[0.9997997,0.00003922548,0.00007640337,0.00001004249,0.00002312318,0.00005151118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01912687,0.002197378,0.5597814,0.001702974,0.0003962936,0.04319257,0.001978939,0.0009325743,0.2016196,0.01116699,0.02258167,0.1353228],"study_design_scores_gemma":[0.0003465543,0.004698517,0.832401,0.0002264034,0.0003579038,0.0889003,0.002670055,0.003532645,0.03235039,0.00361258,0.03083427,0.00006924215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743477,0.017684,0.000749096,0.002223684,0.00023808,0.00003734658,0.0001653985,0.00005387394,0.004500804],"genre_scores_gemma":[0.9961903,0.001518534,0.000316851,0.0002094483,0.000137013,0.000006437781,0.0001040902,0.000002508882,0.001514774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002008497,"threshold_uncertainty_score":0.006719112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02797334778697356,"score_gpt":0.2517308414049803,"score_spread":0.2237574936180068,"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."}}