{"id":"W3191864802","doi":"10.1038/s41598-021-95064-w","title":"Myeloid-resident neuropilin-1 influences brown adipose tissue in obesity","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Université de Montréal; Weizmann Institute of Science; Diabetes Canada; McGill University","keywords":"Neuropilin 1; Adipose tissue; Brown adipose tissue; Myeloid; Biology; Endocrinology; Immune system; Internal medicine; Homeostasis; Cell biology; Immunology; Medicine; Vascular endothelial growth factor; VEGF receptors","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001684845,0.0001832839,0.0002234816,0.0001745425,0.00009717534,0.000207329,0.00009498117,0.0001400736,0.0006705383],"category_scores_gemma":[0.0001386648,0.00008921439,0.0001293298,0.00007618867,0.0002994296,0.0001922315,0.000251019,0.0004153893,0.0001162085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002058354,"about_ca_system_score_gemma":0.0001108394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002450681,"about_ca_topic_score_gemma":0.000421208,"domain_scores_codex":[0.9999088,0.00002718545,0.000005777523,0.00002102529,0.00001345413,0.00002375512],"domain_scores_gemma":[0.9998916,0.00001374094,0.00003481137,0.000005580591,0.000007369584,0.00004678912],"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":[0.0008715371,0.00003417734,0.001808029,0.0000578993,0.000006576019,0.0001493485,0.00003509604,0.00004539176,0.9940168,0.0001720789,0.00004072668,0.002762366],"study_design_scores_gemma":[0.000125724,0.001966275,0.3825913,0.00005467049,0.0001193716,0.001986148,0.0005089932,0.001839611,0.6059039,0.0007742716,0.004100055,0.0000296677],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970886,0.001507108,0.0005771162,0.00008208351,0.00002107683,0.000005092714,0.0000558844,0.00001187772,0.0006512476],"genre_scores_gemma":[0.9977982,0.0008988515,0.000458329,0.00005983315,0.00001298849,0.000008797817,0.00006363814,0.000007612272,0.0006917397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006705383,"threshold_uncertainty_score":0.002243221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920739650841369,"score_gpt":0.2883362316589339,"score_spread":0.2691288351505202,"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."}}