{"id":"W1998653249","doi":"10.1038/cmi.2014.37","title":"Neutrophil transcriptional profile changes during transit from bone marrow to sites of inflammation","year":2014,"lang":"en","type":"article","venue":"Cellular and Molecular Immunology","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Faculty of Dentistry, University of Toronto; Canadian Institutes of Health Research; Hospital for Sick Children; University of Toronto","keywords":"Transcriptome; Inflammation; Bone marrow; Biology; Cell biology; Gene expression; Neutrophil extracellular traps; Microarray; Microarray analysis techniques; Immunology; Gene; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001396775,0.0002437057,0.000425471,0.0002089718,0.0001337759,0.00001088719,0.0001675551,0.0002966825,0.0003797473],"category_scores_gemma":[0.00002581276,0.0002389742,0.00009412551,0.0001239419,0.0001836447,0.00006016026,0.0000683018,0.000232701,0.0001153748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001588457,"about_ca_system_score_gemma":0.0000181102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005531964,"about_ca_topic_score_gemma":0.00002177169,"domain_scores_codex":[0.9986079,0.0002809376,0.0003035956,0.0004147461,0.00005439834,0.0003384735],"domain_scores_gemma":[0.9994271,0.00003882567,0.0001003739,0.0003034213,0.00009410457,0.00003621419],"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":[0.0002989467,0.00004596407,0.00004666547,0.00003397895,0.0001877982,0.00001625698,0.0004674465,0.00000762898,0.9897498,0.006984637,0.0000140334,0.002146875],"study_design_scores_gemma":[0.001541337,0.0004083517,0.002856882,0.00003026859,0.00007592611,0.00002856196,0.00008498898,0.000006087456,0.988228,0.0006837585,0.005819845,0.0002360122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867587,0.004920671,0.00639856,0.001032368,0.0002455182,0.0003247484,0.0000618191,0.00005015196,0.0002074574],"genre_scores_gemma":[0.998401,0.0001080123,0.0004551572,0.0001925639,0.00004548733,0.00005129824,0.0004535718,0.000025482,0.0002673524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01164237,"threshold_uncertainty_score":0.9745087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006803510152999535,"score_gpt":0.1871281923981215,"score_spread":0.1803246822451219,"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."}}