{"id":"W2163174986","doi":"10.1152/ajpheart.00115.2010","title":"Adiponectin primes human monocytes into alternative anti-inflammatory M2 macrophages","year":2010,"lang":"en","type":"article","venue":"American Journal of Physiology-Heart and Circulatory Physiology","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University; William Osler Health System; Canadian Respiratory Research Network; St. Michael's Hospital","funders":"National Heart, Lung, and Blood Institute","keywords":"Adiponectin; Mannose receptor; Macrophage; Inflammation; Monocyte; Endocrinology; Tumor necrosis factor alpha; Internal medicine; Chemokine; Peroxisome proliferator-activated receptor; Biology; Chemistry; Receptor; Immunology; Insulin resistance; Medicine; Insulin; In vitro; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002899809,0.0003392914,0.001156582,0.0002903453,0.0002420013,0.00001421619,0.0002100465,0.0001280368,0.0001753433],"category_scores_gemma":[0.0001351095,0.0002738702,0.0003124728,0.0001823687,0.001683651,0.0002205028,0.00007131472,0.0006467244,0.00002266202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002853553,"about_ca_system_score_gemma":0.0002559466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007330803,"about_ca_topic_score_gemma":0.000005938419,"domain_scores_codex":[0.9980586,0.0002163373,0.0006731236,0.000434739,0.0002111402,0.0004060225],"domain_scores_gemma":[0.9979044,0.0001595921,0.000756864,0.0004194374,0.0003821961,0.0003774799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002052046,0.0001744136,0.01264023,0.00007123048,0.0003978159,0.000004042105,0.0005480827,0.00002364549,0.9833555,0.0005949078,0.0002979142,0.001686978],"study_design_scores_gemma":[0.001226492,0.0007383742,0.9544525,0.0000468755,0.0002625738,0.0002936192,0.0003996887,0.0000410266,0.0342702,0.002883082,0.00512948,0.0002561026],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978887,0.0008930361,0.000002979886,0.0002660197,0.0006012493,0.000196841,0.00000506888,0.00004263917,0.0001034446],"genre_scores_gemma":[0.996512,0.0002032461,0.0005362853,0.0008571849,0.001783018,0.00001113235,0.00001491144,0.00004025178,0.00004196208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9490854,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009314911934648704,"score_gpt":0.2728466031843513,"score_spread":0.2635316912497026,"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."}}