{"id":"W2531249461","doi":"10.1016/j.celrep.2016.09.085","title":"A Metabolic Roadblock in Inflammatory Macrophages","year":2016,"lang":"en","type":"letter","venue":"Cell Reports","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Inflammation; Macrophage; Biology; Immunology; Chemistry; Microbiology; Biochemistry; In vitro","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":[0.001289087,0.000728183,0.0009664181,0.001117357,0.001253288,0.004536396,0.0009888767,0.003690952,0.008253007],"category_scores_gemma":[0.001836239,0.0005012094,0.0008984494,0.0007436596,0.001490974,0.00453352,0.002185621,0.004743241,0.003722702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009605848,"about_ca_system_score_gemma":0.001237762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003300105,"about_ca_topic_score_gemma":0.0008785136,"domain_scores_codex":[0.9987392,0.0001835685,0.0001210977,0.0002352847,0.0004826568,0.0002382169],"domain_scores_gemma":[0.9987896,0.0002625814,0.0002198076,0.000099712,0.0003988454,0.0002295103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001446219,0.0002179786,0.002615725,0.01117601,0.000373773,0.006587191,0.002270718,0.0004807871,0.1383404,0.05418498,0.4302964,0.3520099],"study_design_scores_gemma":[0.00003765122,0.0002203676,0.00243779,0.000924002,0.000108628,0.003651336,0.00106536,0.0001516115,0.01587202,0.01420741,0.9612617,0.00006217585],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02398408,0.6859944,0.005392725,0.1732828,0.09057893,0.00007397911,0.001000176,0.0005365107,0.01915636],"genre_scores_gemma":[0.1856744,0.6192974,0.004630518,0.07675972,0.05561684,0.0001681955,0.001611367,0.0004212675,0.05582032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008253007,"threshold_uncertainty_score":0.02760905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006794919304244325,"score_gpt":0.2132601933240909,"score_spread":0.2064652740198465,"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."}}