{"id":"W2903373126","doi":"10.1016/j.nicl.2018.101617","title":"Cortical thickness atrophy in the transentorhinal cortex in mild cognitive impairment","year":2018,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Aging; GE Healthcare; National Institutes of Health; Northern California Institute for Research and Education; Johnson and Johnson; Takeda Pharmaceutical Company; Novartis Pharmaceuticals Corporation; Johns Hopkins University; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; University of Southern California; Roche; Eli Lilly and Company; Bristol-Myers Squibb; Foundation for the National Institutes of Health; Canadian Institutes of Health Research; National Science Foundation","keywords":"TEC; Entorhinal cortex; Atrophy; Temporal lobe; Hippocampus; Lobe; Cortex (anatomy); Neuroscience; Pathology; Psychology; Medicine; Physics; Epilepsy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008884971,0.0001918052,0.0004010407,0.0001002755,0.00008182707,0.00003102065,0.0001724006,0.0001187014,0.0002606025],"category_scores_gemma":[0.0005820566,0.0001251403,0.0002294029,0.0003392841,0.000857914,0.0000749906,0.00004942813,0.0009648586,0.0004030885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003851244,"about_ca_system_score_gemma":0.0002875272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000654421,"about_ca_topic_score_gemma":0.00008993742,"domain_scores_codex":[0.9968467,0.0008465439,0.0006262902,0.0005432949,0.0006096523,0.000527479],"domain_scores_gemma":[0.9979395,0.001183321,0.00005372266,0.0003600816,0.0001201989,0.0003432225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008579603,0.007602872,0.9710881,0.000037536,0.0004990339,0.008367307,0.0005086732,6.288834e-8,0.00006310118,0.00006330155,0.0008359837,0.002354387],"study_design_scores_gemma":[0.00830986,0.003959619,0.9864339,0.0001122004,0.0002502631,0.0001216345,0.0002265271,0.0002533256,0.00002450184,0.0001035182,0.0001017677,0.0001029169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945571,0.0002966019,0.00002192755,0.002316671,0.0001586072,0.001004522,0.00002511289,0.00002660136,0.001592886],"genre_scores_gemma":[0.9965394,0.0001411402,0.00006203684,0.002736339,0.0003864961,0.00006106209,0.00002946073,0.00002246121,0.00002158689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01534573,"threshold_uncertainty_score":0.5181022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09629052413860902,"score_gpt":0.4336708859070783,"score_spread":0.3373803617684693,"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."}}