{"id":"W2777912041","doi":"10.1101/234641","title":"Central Role of Cognitive Control Networks in Weight Loss During Voluntary Calorie Restriction","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Eating Disorders and Behaviors","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Weight loss; Leptin; Calorie restriction; Ghrelin; Hormone; Overweight; Internal medicine; Endocrinology; Calorie; Reactivity (psychology); Food intake; Psychology; Obesity; Medicine","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":[0.0002236517,0.0002088156,0.0001674407,0.0002085303,0.0001416735,0.0002924624,0.0001798124,0.0001735403,0.001153599],"category_scores_gemma":[0.0007364426,0.0001335318,0.0001196182,0.00008250991,0.0003124528,0.0002478864,0.0003030904,0.0003879984,0.00006100064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002895131,"about_ca_system_score_gemma":0.0001934821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002645412,"about_ca_topic_score_gemma":0.002890959,"domain_scores_codex":[0.9999328,0.000009790097,0.00000205797,0.00002302559,0.00001418422,0.00001823901],"domain_scores_gemma":[0.9997731,0.00004938711,0.00007892256,0.00002971664,0.00001806075,0.00005079569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00557962,0.0009868909,0.1136696,0.0002567043,0.0004880472,0.000626774,0.001736038,0.002609435,0.7745181,0.0009674244,0.001157753,0.09740366],"study_design_scores_gemma":[0.00004879007,0.0001762667,0.990581,0.00001122766,0.00004067569,0.00009832629,0.0001360168,0.00160163,0.006095297,0.0008956417,0.000307789,0.000007436586],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976562,0.0001861483,0.000848478,0.0001201388,0.000007603687,0.00001328524,0.00007508544,0.00002067141,0.001072237],"genre_scores_gemma":[0.9990246,0.00007408114,0.0003238726,0.00003792133,0.000007665657,0.00002090258,0.00006892654,0.000007186894,0.0004349079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002645412,"threshold_uncertainty_score":0.00526005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008725938593144519,"score_gpt":0.2386926265324046,"score_spread":0.2299666879392601,"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."}}