{"id":"W4249561820","doi":"10.1016/j.jalz.2014.05.121","title":"IC‐P‐115: BRAIN FUEL CONSUMPTION IN MILD ALZHEIMER'S DISEASE (AD): COMPARISON OF GLUCOSE AND KETONES USING PET IMAGING","year":2014,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Posterior cingulate; Ketone bodies; Nuclear medicine; Medicine; Positron emission tomography; Internal medicine; Pet imaging; Temporal cortex; Glucose uptake; Carbohydrate metabolism; Thalamus; Cerebral cortex; Cortex (anatomy); Cardiology; Endocrinology; Psychology; Neuroscience; Metabolism; Radiology","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":[0.0005963109,0.0006310236,0.000700041,0.0009819083,0.000191111,0.0006370756,0.0003662125,0.0005537835,0.001014896],"category_scores_gemma":[0.000557321,0.0001613232,0.0003094064,0.0005853203,0.0002459307,0.0003336854,0.0003534858,0.0003470105,0.0002754926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003252662,"about_ca_system_score_gemma":0.0002407551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005267646,"about_ca_topic_score_gemma":0.002627731,"domain_scores_codex":[0.9998119,0.0000370295,0.00002574467,0.00004376556,0.00004899973,0.00003254468],"domain_scores_gemma":[0.999797,0.00002536484,0.00003873645,0.00002092657,0.00003835412,0.00007957442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1014165,0.003306869,0.4614314,0.001651692,0.00194272,0.001933394,0.0006612785,0.002441781,0.2050478,0.0003557284,0.002762557,0.2170483],"study_design_scores_gemma":[0.0003740164,0.005861707,0.9799523,0.00002938032,0.0004033879,0.001331569,0.0001377843,0.001613157,0.008511816,0.0001158468,0.001642797,0.00002626977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937866,0.003369553,0.0005160224,0.00002197599,0.00002455046,0.00008577119,0.0007347577,0.0000423124,0.001418588],"genre_scores_gemma":[0.997014,0.0006285453,0.0005702684,0.00002351731,0.000022208,0.00006896267,0.00115045,0.000006949655,0.0005150113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005267646,"threshold_uncertainty_score":0.01047397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04834473075807447,"score_gpt":0.3320016006467023,"score_spread":0.2836568698886278,"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."}}