{"id":"W2858795007","doi":"10.1126/sciadv.aar5319","title":"Molecular signatures and functional analysis of beige adipocytes induced from in vivo intra-abdominal adipocytes","year":2018,"lang":"en","type":"article","venue":"Science Advances","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"In vivo; Adipose tissue; Adipocyte; Adipogenesis; Biology; Internal medicine; Endocrinology; Medicine; Genetics","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":[0.0001351623,0.0002110124,0.0001590098,0.0006026958,0.0001801084,0.0002554232,0.00009211143,0.0002022424,0.001403794],"category_scores_gemma":[0.00007559083,0.000108833,0.0002678608,0.000297998,0.0001674867,0.0001713314,0.0001661111,0.000515983,0.000361286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104466,"about_ca_system_score_gemma":0.00007610225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001964771,"about_ca_topic_score_gemma":0.0002624789,"domain_scores_codex":[0.9999094,0.00001190934,0.000006600804,0.00002221426,0.00002488463,0.00002504529],"domain_scores_gemma":[0.9999245,0.00001306113,0.00001598861,0.00000998622,0.00001428239,0.00002217675],"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":[0.00007575645,0.000007493925,0.0003079595,0.000009073091,0.000002983252,0.00003348244,0.00001096144,0.000009457782,0.9989759,0.00005239735,0.00000732192,0.0005072885],"study_design_scores_gemma":[0.00001717776,0.0003877363,0.06244957,0.000008673048,0.00004912614,0.001339201,0.0002200111,0.0006252684,0.9318789,0.0002065632,0.002803277,0.00001447835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990799,0.001158757,0.005618833,0.00005190783,0.00002938072,0.00002985507,0.0005360686,0.00006002539,0.001716226],"genre_scores_gemma":[0.9891499,0.001074809,0.005203349,0.00007161471,0.00001722963,0.00006036479,0.001323794,0.00003407675,0.003065035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001403794,"threshold_uncertainty_score":0.00469619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315950496822206,"score_gpt":0.2931592232474455,"score_spread":0.2799997182792234,"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."}}