{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001254021,0.0001638282,0.0001541125,0.00008334227,0.0002682319,0.00006162171,0.0001409014,0.00006556061,0.0002837189],"category_scores_gemma":[0.00008729312,0.0001834791,0.0001324646,0.0004745459,0.0001619086,0.0002963495,0.0000782761,0.0001722769,0.00002550364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000866569,"about_ca_system_score_gemma":0.0000760544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003436685,"about_ca_topic_score_gemma":0.000008415676,"domain_scores_codex":[0.9982718,0.0002410874,0.0003779693,0.0004750987,0.0003494729,0.0002846212],"domain_scores_gemma":[0.9990747,0.00007052843,0.0002275222,0.0003392579,0.0001285358,0.0001594367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000119844,0.0002360719,0.00173122,0.000004459519,0.001072204,0.00004105428,0.00006547457,0.004933053,0.948126,0.001287624,0.00008263489,0.04230038],"study_design_scores_gemma":[0.0004718993,0.00004251521,0.05757022,0.00001019025,0.004298131,0.00004177669,0.00002379786,0.3218261,0.6144102,0.0001582731,0.0008790162,0.0002679117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9057115,0.04289312,0.04573404,0.0004667245,0.003582424,0.000581824,0.00004405426,0.0002847681,0.0007015391],"genre_scores_gemma":[0.9990641,0.00002625664,0.0002746182,0.0004168738,0.0001559771,0.00001945686,0.00001060855,0.00002560189,0.000006485501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3337158,"threshold_uncertainty_score":0.7482063,"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."}}