{"id":"W1492947634","doi":"10.1016/j.neuroimage.2015.05.077","title":"Diurnal fluctuations in brain volume: Statistical analyses of MRI from large populations","year":2015,"lang":"en","type":"article","venue":"NeuroImage","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"NeuroRx Research (Canada); Montreal Neurological Institute and Hospital; McGill University","funders":"National Institute on Aging; Alzheimer's Disease Neuroimaging Initiative","keywords":"Alzheimer's Disease Neuroimaging Initiative; Brain size; Neuroimaging; Magnetic resonance imaging; Medicine; Clinical trial; Nuclear medicine; Internal medicine; Alzheimer's disease; Disease; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002554441,0.00009628764,0.0002872368,0.0001997632,0.00004726015,0.00001554296,0.00008386456,0.00003323471,0.0004670359],"category_scores_gemma":[0.005445253,0.00008574152,0.0000514588,0.0003412731,0.0001124944,0.0000951071,0.00009523044,0.0002288234,0.0000536498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005086753,"about_ca_system_score_gemma":0.000112725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009968524,"about_ca_topic_score_gemma":0.0004716826,"domain_scores_codex":[0.9985272,0.0001644202,0.0003394984,0.0002180811,0.0005068901,0.0002438543],"domain_scores_gemma":[0.998957,0.0003294772,0.00005843784,0.0002749339,0.0001911454,0.0001890439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000163003,0.0006968975,0.8242336,0.00003433434,0.00006973756,0.0001220215,0.0009182963,0.0002043755,0.08350602,0.0003560278,0.08801434,0.001681382],"study_design_scores_gemma":[0.001742514,0.0001124889,0.9820958,0.00002565514,0.00003524094,0.000002002174,0.0002021654,0.01349633,0.0005045965,0.0003027798,0.001419294,0.00006112032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654997,0.000191677,0.02458324,0.00528453,0.0001549064,0.000420485,0.0009400985,0.00004532523,0.002880071],"genre_scores_gemma":[0.9900891,0.00002310761,0.009080629,0.0001976506,0.00008526034,0.00001397086,0.0001867047,0.00001482077,0.0003087149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1578622,"threshold_uncertainty_score":0.6518869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2190033176951267,"score_gpt":0.4515930573884123,"score_spread":0.2325897396932856,"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."}}