{"id":"W3209772190","doi":"10.1016/j.cmet.2021.10.002","title":"Cold exposure protects from neuroinflammation through immunologic reprogramming","year":2021,"lang":"en","type":"article","venue":"Cell Metabolism","topic":"Anesthesia and Neurotoxicity Research","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"H2020 European Research Council; Horizon 2020; European Research Council; Horizon 2020 Framework Programme; Schweizerische Multiple Sklerose Gesellschaft; Centre d'Imagerie BioMédicale; Université de Lausanne; Université de Genève; Centre Hospitalier Universitaire Vaudois; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; École Polytechnique Fédérale de Lausanne; Hôpitaux Universitaires de Genève; Canadian Mennonite University","keywords":"Reprogramming; Neuroinflammation; Immunology; Biology; Medicine; Cell biology; Neuroscience; Inflammation; Genetics; Cell","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001516271,0.0003948191,0.0003247803,0.0001737299,0.0002800721,0.0004827446,0.0001926273,0.0003260209,0.003912766],"category_scores_gemma":[0.0001566973,0.0001209833,0.0004272794,0.0001084445,0.0003263686,0.0003804952,0.0002549342,0.0008645564,0.0004184565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002361432,"about_ca_system_score_gemma":0.0002925101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006240747,"about_ca_topic_score_gemma":0.001512522,"domain_scores_codex":[0.9998289,0.00002604863,0.00001317628,0.00004808828,0.00002621025,0.00005749627],"domain_scores_gemma":[0.9998845,0.000009587366,0.00003909674,0.0000229899,0.00002007136,0.00002384906],"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":[0.001201784,0.0001078876,0.000890799,0.00009144946,0.00003944243,0.0001176799,0.00005245254,0.00009604645,0.990904,0.0004646382,0.0002966135,0.005737171],"study_design_scores_gemma":[0.0001026002,0.002483187,0.09068329,0.0001390845,0.0002401316,0.0006610416,0.0005832562,0.0006563847,0.8884161,0.001295941,0.01469861,0.00004039831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979588,0.00823235,0.0054975,0.0007383398,0.0006469666,0.0000483763,0.0007684545,0.0001165776,0.00436344],"genre_scores_gemma":[0.9893789,0.003710313,0.001288533,0.0003435048,0.0001438612,0.00007128069,0.000473821,0.00004753795,0.00454229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003912766,"threshold_uncertainty_score":0.01308954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04690232204045082,"score_gpt":0.2664654704371765,"score_spread":0.2195631483967257,"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."}}