{"id":"W4237212480","doi":"10.3410/f.725649653.793526435","title":"Faculty Opinions recommendation of Inflammation. Neutrophil extracellular traps license macrophages for cytokine production in atherosclerosis.","year":2016,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Inflammation; Cytokine; Neutrophil extracellular traps; Production (economics); License; Extracellular; Macrophage; Immunology; Chemistry; Cell biology; Biology; Computer science; Biochemistry; Economics","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":[0.001339326,0.002336457,0.002018688,0.003407459,0.0007079125,0.003791243,0.002813694,0.002948926,0.0775765],"category_scores_gemma":[0.01177812,0.000717289,0.002066598,0.005024739,0.0003855961,0.001685856,0.002103895,0.001738939,0.07256912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001410521,"about_ca_system_score_gemma":0.003851844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01885135,"about_ca_topic_score_gemma":0.04022908,"domain_scores_codex":[0.9986731,0.0002223809,0.0001999828,0.0003790562,0.0003464329,0.000179056],"domain_scores_gemma":[0.9963623,0.001100832,0.0006943428,0.000584601,0.0006881589,0.0005698181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001652001,0.00001987745,0.002204699,0.002196403,0.0001089227,0.00003175601,0.00001835304,0.0002074654,0.0001367546,0.0003953145,0.9911446,0.003370723],"study_design_scores_gemma":[0.0006243368,0.00003354997,0.008583457,0.001211355,0.0002207732,0.0001352885,0.00004113953,0.0005697935,0.0005019474,0.001584849,0.9864516,0.00004188198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001184069,0.0002590701,0.0000450821,0.0001505249,0.00004165664,0.000008593146,0.9984986,0.0002507743,0.0006273713],"genre_scores_gemma":[0.0008205629,0.0003176758,0.0002538589,0.0001993538,0.00002599123,0.00005512055,0.9972785,0.00008548309,0.0009634855],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0775765,"threshold_uncertainty_score":0.2595192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263936873240867,"score_gpt":0.3051271324638321,"score_spread":0.2787334451397454,"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."}}