{"id":"W2266896131","doi":"10.1002/jmri.25168","title":"Does hydration status affect MRI measures of brain volume or water content?","year":2016,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia","funders":"Multiple Sclerosis Society of Canada","keywords":"Brain size; Urine specific gravity; Medicine; Magnetic resonance imaging; Neuroimaging; Reproducibility; Nuclear medicine; Body water; Dehydration; Urine; Radiology; Biomedical engineering; Body weight; Chemistry; Endocrinology; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003767785,0.000112233,0.000297937,0.0001090834,0.00003884231,0.00001277101,0.00009840853,0.00002976157,0.0002236693],"category_scores_gemma":[0.0002593981,0.00004255985,0.0001050025,0.00007970619,0.0001237409,0.00021166,0.00002549654,0.0001177587,0.000005293835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006807417,"about_ca_system_score_gemma":0.00007140232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001242458,"about_ca_topic_score_gemma":0.000005271345,"domain_scores_codex":[0.9987637,0.00004040834,0.0005060699,0.0001291419,0.0003212955,0.0002393474],"domain_scores_gemma":[0.9989529,0.0001062086,0.0002587672,0.0002085957,0.0003713256,0.0001022349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003924124,0.00006868137,0.01954661,0.00002460533,0.000004397243,0.00003808907,0.0001272912,0.00000306874,0.5141749,0.00005837073,0.004158854,0.4614027],"study_design_scores_gemma":[0.003874301,0.001254705,0.09769483,0.001472657,0.0001160158,0.0004256233,0.0002636283,0.0003611904,0.353317,0.001976881,0.5390147,0.0002284629],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4430311,0.01134657,0.4515543,0.09124553,0.0003804177,0.001176912,0.00003546266,0.00009647453,0.001133202],"genre_scores_gemma":[0.9591868,0.001618064,0.03262897,0.000416294,0.0002093365,0.00001574792,0.000001224843,0.00002537794,0.005898176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5348558,"threshold_uncertainty_score":0.2449022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554574604276429,"score_gpt":0.2990326441318196,"score_spread":0.2734868980890553,"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."}}