{"id":"W2157633021","doi":"10.1186/1471-2342-14-21","title":"Brain region’s relative proximity as marker for Alzheimer’s disease based on structural MRI","year":2014,"lang":"en","type":"article","venue":"BMC Medical Imaging","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; Højteknologifonden; Servier; Eisai; Northern California Institute for Research and Education; University of California, San Diego; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; Synarc; University of Southern California; Medpace; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Magnetic resonance imaging; Computer science; Alzheimer's disease; Disease; Neuroscience; Medicine; Artificial intelligence; Pathology; Psychology; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001405398,0.0004551495,0.0003689262,0.002617962,0.0002520865,0.0006553174,0.0002870825,0.0003910633,0.001050409],"category_scores_gemma":[0.003667282,0.0001274614,0.0003996352,0.001023454,0.0003511697,0.0004719147,0.0004786977,0.0004688,0.0002706959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002102913,"about_ca_system_score_gemma":0.0002557498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765213,"about_ca_topic_score_gemma":0.002412469,"domain_scores_codex":[0.9995916,0.000124197,0.00003726327,0.00009961408,0.0001181218,0.00002920351],"domain_scores_gemma":[0.9979353,0.0007624635,0.0007303636,0.0001492884,0.0002607741,0.000161845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008818504,0.00008789553,0.9609075,0.00008488982,0.00035601,0.0002166384,0.0002797665,0.003400489,0.00742788,0.0002949116,0.0004627741,0.02559942],"study_design_scores_gemma":[0.00001474296,0.0004543099,0.9752486,0.00002938443,0.0001538611,0.001317051,0.000190085,0.01870606,0.002527905,0.0007244414,0.0006095012,0.00002401372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927962,0.000652627,0.00508037,0.0000531878,0.00001375785,0.00002261928,0.0003904553,0.00007878937,0.0009118384],"genre_scores_gemma":[0.996194,0.0001193661,0.003191671,0.000006191684,0.00001744125,0.00001620829,0.0002926235,0.000008676763,0.0001537445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002617962,"threshold_uncertainty_score":0.00743258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04475993077763055,"score_gpt":0.3120548093794409,"score_spread":0.2672948786018103,"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."}}