{"id":"W4362523001","doi":"10.1038/s41467-023-37169-6","title":"Structural insights into the mechanism of leptin receptor activation","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institute of Allergy and Infectious Diseases; Division of Intramural Research, National Institute of Allergy and Infectious Diseases; Howard Hughes Medical Institute; National Institutes of Health; National Science Foundation","keywords":"Mechanism (biology); Leptin; Receptor; Leptin receptor; Computational biology; Cell biology; Chemistry; Biology; Genetics; Endocrinology; Obesity; Physics","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":[0.0001538369,0.0002577743,0.0002032594,0.0001254576,0.0004344238,0.000409497,0.0004475844,0.0004483308,0.001891948],"category_scores_gemma":[0.000197201,0.0002461056,0.0002518633,0.0001175539,0.0003888862,0.0005418409,0.0002576689,0.0009507069,0.0006121169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004816561,"about_ca_system_score_gemma":0.0003262289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006466974,"about_ca_topic_score_gemma":0.0005697716,"domain_scores_codex":[0.9999071,0.00001446132,0.000004430013,0.00002030475,0.00002980981,0.00002386225],"domain_scores_gemma":[0.9999427,0.00001021956,0.00001362191,0.000006769004,0.00001130249,0.0000154895],"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":[0.000137932,0.00003284433,0.0004731698,0.0001401827,0.00001763723,0.000402838,0.00009033721,0.003500922,0.9792435,0.01068471,0.000637262,0.0046387],"study_design_scores_gemma":[0.0001418369,0.0004872355,0.007694745,0.00008220656,0.0000517279,0.002373156,0.0004733152,0.08005317,0.8488058,0.01821721,0.04155688,0.00006267051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370838,0.009096248,0.03533841,0.003106061,0.0002344782,0.00003622633,0.0003913779,0.0003610798,0.01435232],"genre_scores_gemma":[0.9859168,0.003292916,0.00784569,0.0003419882,0.00002911775,0.00001553868,0.000371374,0.00003247898,0.002154086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001891948,"threshold_uncertainty_score":0.006329179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03906236492787494,"score_gpt":0.3108397746299454,"score_spread":0.2717774097020704,"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."}}