{"id":"W4210802041","doi":"10.1002/alz.053169","title":"Early detection of Alzheimer's disease using 3D convolutional neural networks","year":2021,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Surrey Memorial Hospital","funders":"","keywords":"Artificial intelligence; Convolutional neural network; Classifier (UML); Binary classification; Region of interest; Pattern recognition (psychology); Computer science; Cognitive impairment; Deep learning; Magnetic resonance imaging; Cognition; Neuroscience; Medicine; Psychology; Support vector machine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004068567,0.0008696428,0.0005442486,0.001214288,0.0002041173,0.0004815028,0.000542605,0.0006415332,0.0005558806],"category_scores_gemma":[0.0006892935,0.0003104015,0.000783631,0.0004498919,0.0001556959,0.0003935166,0.000397816,0.0004307065,0.0002143172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007107716,"about_ca_system_score_gemma":0.00045627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01538992,"about_ca_topic_score_gemma":0.01457291,"domain_scores_codex":[0.9998287,0.00002245065,0.00001003894,0.00005630384,0.00004073259,0.00004173748],"domain_scores_gemma":[0.9998009,0.00005486905,0.00003047987,0.00001752259,0.00007859501,0.00001769043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006481407,0.0003554815,0.04302241,0.0001180825,0.0003949853,0.0005643929,0.0001016411,0.4023187,0.06215636,0.00155267,0.003924154,0.484843],"study_design_scores_gemma":[0.000002768719,0.00002593416,0.003164932,0.000006154189,0.00002676094,0.00005274372,0.000005533298,0.9918531,0.004355184,0.0003076841,0.0001920528,0.000007180889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4591896,0.001759763,0.5326136,0.0003850403,0.0001206686,0.00009672708,0.0008764415,0.00229476,0.00266345],"genre_scores_gemma":[0.936879,0.0003833595,0.06078288,0.00008891567,0.0000257709,0.00003629822,0.0004818237,0.00002153266,0.001300495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01538992,"threshold_uncertainty_score":0.03060067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05254947087961401,"score_gpt":0.2747557445571808,"score_spread":0.2222062736775668,"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."}}