{"id":"W4220668355","doi":"10.3390/cancers14051359","title":"Neutrophil Extracellular Traps in Cancer Therapy Resistance","year":2022,"lang":"en","type":"review","venue":"Cancers","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal General Hospital","funders":"","keywords":"Neutrophil extracellular traps; Cancer; Tumor microenvironment; Cancer research; Epithelial–mesenchymal transition; Extracellular matrix; Medicine; Cancer therapy; Drug resistance; Angiogenesis; Cancer cell; Tumor progression; Immunology; Bioinformatics; Biology; Metastasis; Inflammation; Internal medicine; Cell biology; Genetics","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":[0.0004825081,0.0006435623,0.0008316186,0.001657711,0.0002227721,0.0008137274,0.0005176162,0.001014987,0.002411811],"category_scores_gemma":[0.0005469595,0.0001847927,0.0003816134,0.001104978,0.0004053348,0.000902435,0.0006168939,0.001613203,0.001028004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005053633,"about_ca_system_score_gemma":0.0007903411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007012469,"about_ca_topic_score_gemma":0.001384148,"domain_scores_codex":[0.9998319,0.00003669787,0.00002264658,0.00002393777,0.00006612474,0.00001856703],"domain_scores_gemma":[0.9997723,0.0001007364,0.00003541609,0.000005878205,0.00006205613,0.00002366149],"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":[0.00009456693,0.00006994406,0.000276915,0.01072445,0.00006675479,0.0002294399,0.00006029009,0.0003877218,0.001895295,0.004865074,0.03374981,0.9475797],"study_design_scores_gemma":[0.00002020673,0.0001515271,0.001154471,0.003555302,0.00007500685,0.002237779,0.00005861187,0.0001594101,0.0006349133,0.002586563,0.9893478,0.00001828919],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008720112,0.9990921,0.00005260458,0.000211257,0.0001519611,0.000001970952,0.000005675543,0.00000305706,0.000394149],"genre_scores_gemma":[0.0008687339,0.9982723,0.00006944283,0.0001324951,0.0001974636,0.000003453661,0.00001407075,6.631022e-7,0.0004413884],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002411811,"threshold_uncertainty_score":0.008068323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08073306670896159,"score_gpt":0.3220077067402795,"score_spread":0.2412746400313179,"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."}}