{"id":"W2963918876","doi":"10.1016/j.celrep.2019.06.062","title":"Platelets Promote Macrophage Polarization toward Pro-inflammatory Phenotype and Increase Survival of Septic Mice","year":2019,"lang":"en","type":"article","venue":"Cell Reports","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Fondo para la Investigación Científica y Tecnológica; Agencia Nacional de Promoción Científica y Tecnológica; Heart and Stroke Foundation of Canada; Cumming School of Medicine, University of Calgary; Consejo Nacional de Investigaciones Científicas y Técnicas; University of Calgary; Canada Research Chairs","keywords":"Lipopolysaccharide; Integrin alpha M; Platelet; CD163; Sepsis; Macrophage; Macrophage polarization; Immunology; Platelet activation; Tumor necrosis factor alpha; Effector; Inflammation; Phagocytosis; Biology; In vitro; Flow cytometry; Biochemistry","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":[0.0003909672,0.0001736501,0.0003045874,0.00007143847,0.00005137539,0.000009588905,0.00009356889,0.0002723407,0.0007622447],"category_scores_gemma":[0.00006032071,0.000166993,0.00005274158,0.00008693001,0.0001334584,0.00009360493,0.0001205651,0.0002409468,0.0001730915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003964869,"about_ca_system_score_gemma":0.0001376896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001082949,"about_ca_topic_score_gemma":0.000003070984,"domain_scores_codex":[0.9987549,0.0001096901,0.0004582049,0.0003565555,0.00005780307,0.0002629003],"domain_scores_gemma":[0.9990128,0.00005020186,0.0004044184,0.0004054754,0.0001018936,0.00002524482],"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":[0.0001026983,0.00006548067,0.02493238,0.0003256985,0.00005804074,0.0001246257,0.000489241,0.000006526988,0.9723021,0.00002764285,0.0001328705,0.001432681],"study_design_scores_gemma":[0.000879648,0.0001445466,0.02373014,0.00007231372,0.00006766886,0.0003331482,0.00008269735,0.000009728636,0.9600978,0.00009615532,0.01421321,0.0002728732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864241,0.003891572,0.00002735162,0.0000139699,0.001871828,0.0005339376,0.000004246899,0.0000481917,0.007184783],"genre_scores_gemma":[0.9871942,0.00004710609,0.0001037942,0.00002636216,0.00002118793,0.000008214113,0.00007852328,0.00003099796,0.01248955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01408033,"threshold_uncertainty_score":0.8346045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006423932086392321,"score_gpt":0.2090492581347504,"score_spread":0.2026253260483581,"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."}}