{"id":"W1995386242","doi":"10.1016/j.neuroimage.2015.03.026","title":"Accelerated vs. unaccelerated serial MRI based TBM-SyN measurements for clinical trials in Alzheimer's disease","year":2015,"lang":"en","type":"article","venue":"NeuroImage","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Center for Research Resources; National Institute on Aging; National Institutes of Health; National Institute for Health and Care Research; Canadian Institutes of Health Research; Elsie and Marvin Dekelboum Family Foundation; Mayo Foundation for Medical Education and Research","keywords":"Neuroimaging; Cognitive impairment; Nuclear medicine; Medicine; Alzheimer's Disease Neuroimaging Initiative; Normalization (sociology); Sample size determination; Alzheimer's disease; Clinical trial; Psychology; Disease; Pathology; Mathematics; Statistics","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009640022,0.0002969292,0.00096818,0.0002783869,0.00007342418,0.0001454984,0.0002195786,0.0001293904,0.0004637681],"category_scores_gemma":[0.01007282,0.000251281,0.0003487683,0.0004893956,0.0001144606,0.000225427,0.00007481484,0.0003798764,0.0001242307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007346005,"about_ca_system_score_gemma":0.001206844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002908138,"about_ca_topic_score_gemma":0.00001040394,"domain_scores_codex":[0.9941893,0.002202683,0.001332916,0.0007139163,0.000923652,0.0006375585],"domain_scores_gemma":[0.9967331,0.0007377653,0.0002365876,0.0004336725,0.0008646243,0.0009942938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05857375,0.004764007,0.8200936,0.0001362534,0.0004556943,0.0008335325,0.00004613792,0.00002920014,0.01460196,0.00001258504,0.08286469,0.01758861],"study_design_scores_gemma":[0.06280669,0.003086101,0.8884791,0.0001724953,0.001112191,0.000005654464,0.00004602634,0.007691173,0.01868574,0.0001124738,0.01733075,0.0004715688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842471,0.0002929587,0.0007213347,0.00536707,0.001112593,0.005716533,0.0001376806,0.0001733174,0.002231384],"genre_scores_gemma":[0.9951705,0.00004213641,0.0004815859,0.002669315,0.0005419201,0.0003915468,0.00038718,0.00006716436,0.0002486597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06838556,"threshold_uncertainty_score":0.9999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5662458012645049,"score_gpt":0.5180548695392553,"score_spread":0.04819093172524958,"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."}}