{"id":"W2322861895","doi":"10.1002/hbm.23139","title":"Effects of change in FreeSurfer version on classification accuracy of patients with Alzheimer's disease and mild cognitive impairment","year":2016,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"NeuroRx Research (Canada)","funders":"DoD Alzheimer's Disease Neuroimaging Initiative; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, Los Angeles; National Institutes of Health; Foundation for the National Institutes of Health; Norges Forskningsråd; Northern California Institute for Research and Education; University of California, San Diego; BioClinica; Alzheimer's Disease Neuroimaging Initiative; Bristol-Myers Squibb; Eli Lilly and Company; Biogen; Eisai; National Institute on Aging; Alzheimer's Association","keywords":"Neuroimaging; Cognition; Alzheimer's Disease Neuroimaging Initiative; Cognitive impairment; Entorhinal cortex; Disease; Psychology; Alzheimer's disease; Dementia; Audiology; Magnetic resonance imaging; Neuroscience; Medicine; Pathology; Radiology; Hippocampus","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01064712,0.0004723875,0.0007228815,0.001628194,0.000384917,0.001200674,0.0004851736,0.0007717413,0.0008702675],"category_scores_gemma":[0.05652091,0.0002930592,0.0007544729,0.0009300272,0.0009888611,0.00106689,0.0009020894,0.0006887649,0.000323377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003543207,"about_ca_system_score_gemma":0.0002255348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001353438,"about_ca_topic_score_gemma":0.001635874,"domain_scores_codex":[0.9920094,0.003504247,0.001321785,0.001537325,0.001295527,0.0003317959],"domain_scores_gemma":[0.9433405,0.03932617,0.007187034,0.005139718,0.004024888,0.0009817161],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008551981,0.0001674667,0.9577817,0.00006421936,0.0006533219,0.000246486,0.0008143911,0.001417306,0.003449632,0.00006787064,0.0004625102,0.02632303],"study_design_scores_gemma":[0.00004123209,0.001014077,0.9934457,0.00001351218,0.0001216364,0.0004551499,0.0002100186,0.002512135,0.001798999,0.0001552876,0.0002060956,0.00002615707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987898,0.0002222644,0.0004321187,0.00005976047,0.00002223567,0.00001131711,0.000150345,0.00002825799,0.0002837965],"genre_scores_gemma":[0.9989823,0.00003646301,0.0004974356,0.00002716187,0.00001062776,0.00001096135,0.0002962611,0.00002303431,0.0001157564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9893529,"threshold_uncertainty_score":0.05630803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1004986253397984,"score_gpt":0.3483947330859034,"score_spread":0.2478961077461049,"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."}}