{"id":"W2775978201","doi":"10.3389/fnhum.2017.00639","title":"Allostatic Load Is Linked to Cortical Thickness Changes Depending on Body-Weight Status","year":2017,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Diet and metabolism studies","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Universitat de Barcelona; Ministerio de Economía y Competitividad","keywords":"Allostatic load; Overweight; Internal medicine; Glycated hemoglobin; Body mass index; Medicine; Chronic stress; Endocrinology; Psychology; Diabetes mellitus; Gerontology; Type 2 diabetes","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003186547,0.0002050117,0.0004232519,0.0002153441,0.0007662614,0.0001379131,0.0004383282,0.00005915839,0.00002032104],"category_scores_gemma":[0.001120079,0.0001734746,0.00005253827,0.0001595505,0.0004607635,0.0001553777,0.0002228405,0.0003361488,0.0000117339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010906,"about_ca_system_score_gemma":0.00007331301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003818461,"about_ca_topic_score_gemma":0.00004110997,"domain_scores_codex":[0.9978448,0.00003349924,0.0002187588,0.0005953124,0.0006409802,0.0006666397],"domain_scores_gemma":[0.9988315,0.00003393188,0.0001075214,0.0006578667,0.00006926816,0.0002998726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005916529,0.0007696718,0.7317363,0.0002366059,0.00003484102,0.0009003613,0.01237117,0.00001595402,0.1760717,0.004104548,0.06166919,0.01149797],"study_design_scores_gemma":[0.001048459,0.0005455322,0.9573296,0.0001893093,0.00005107065,0.00000431399,0.0002575536,0.0005723277,0.001581422,0.0005597235,0.03761315,0.0002475271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772131,0.0002184051,0.001299264,0.004086115,0.006024401,0.0006589371,0.00001381273,0.00005870528,0.01042724],"genre_scores_gemma":[0.9893292,0.0002997177,0.001266425,0.004692149,0.0001779349,0.00003995515,0.00000110659,0.00002053178,0.004173019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2255933,"threshold_uncertainty_score":0.7074088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.044287404511978,"score_gpt":0.3323654293710666,"score_spread":0.2880780248590886,"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."}}