{"id":"W3114799991","doi":"10.1016/j.scr.2020.102150","title":"Neutrophils generated in vitro from hematopoietic stem cells isolated from apheresis samples and umbilical cord blood form neutrophil extracellular traps","year":2020,"lang":"en","type":"article","venue":"Stem Cell Research","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Association of Faculties of Medicine of Canada; National Centre for Cell Science; Department of Biotechnology, Government of West Bengal; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Neutrophil extracellular traps; Biology; Haematopoiesis; In vitro; Immunology; Apheresis; Stem cell; Cord blood; Umbilical cord; Cell biology; Inflammation; Platelet; Biochemistry","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":[0.0004259114,0.0003143666,0.0002470686,0.0001990202,0.0001097119,0.0003833433,0.0001856195,0.0002179636,0.00164978],"category_scores_gemma":[0.0002677951,0.00007574012,0.0001635771,0.0001503934,0.0001433055,0.00018489,0.0002218746,0.0005295085,0.000460692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001406667,"about_ca_system_score_gemma":0.0001431529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002573475,"about_ca_topic_score_gemma":0.0005933283,"domain_scores_codex":[0.9997081,0.00008898092,0.00004079049,0.00003920823,0.00008878545,0.00003418342],"domain_scores_gemma":[0.9998691,0.00003637172,0.00003227572,0.00002071317,0.00002080519,0.00002065295],"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":[0.0002024308,0.00007775438,0.002077408,0.0001702559,0.00002125184,0.0001234058,0.00007068924,0.00009690301,0.9845025,0.000234435,0.0002747095,0.01214823],"study_design_scores_gemma":[0.00004194734,0.0007309941,0.01615384,0.00005529429,0.00004019126,0.0006748235,0.00006633379,0.0006093854,0.9685887,0.0002726094,0.01275729,0.000008536151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315122,0.01277521,0.04290862,0.0006565021,0.0002934065,0.0006905593,0.002794645,0.000259778,0.00810909],"genre_scores_gemma":[0.9689022,0.002951267,0.01948222,0.0003456538,0.00005482813,0.0002042397,0.00417895,0.0000307423,0.003849849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00164978,"threshold_uncertainty_score":0.005519032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06680173489556196,"score_gpt":0.2701942812180082,"score_spread":0.2033925463224462,"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."}}