{"id":"W4312213462","doi":"10.1002/advs.202204717","title":"Deep Learning for Brain MRI Confirms Patterned Pathological Progression in Alzheimer's Disease","year":2022,"lang":"en","type":"article","venue":"Advanced Science","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Surrey Memorial Hospital; Fraser Health","funders":"National Institute on Aging; National Natural Science Foundation of China","keywords":"Neuroimaging; Magnetic resonance imaging; Neuroscience; Parahippocampal gyrus; Neurodegeneration; Medicine; Pathological; Artificial intelligence; Disease; Computer science; Temporal lobe; Psychology; Pathology; Epilepsy; 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":[0.00109001,0.00008754555,0.0001273075,0.0001561669,0.0004341411,0.00002692626,0.0001957637,0.00001202631,0.0002538073],"category_scores_gemma":[0.0005379037,0.00007098773,0.00004495895,0.0005565098,0.000303446,0.0001728986,0.0002322905,0.0002487508,0.000006763982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007365732,"about_ca_system_score_gemma":0.00015392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001986401,"about_ca_topic_score_gemma":0.00000148633,"domain_scores_codex":[0.9981496,0.00009269677,0.0001507093,0.0004544213,0.0006837698,0.0004688197],"domain_scores_gemma":[0.9993683,0.0001275991,0.0000495504,0.0001390489,0.00009303937,0.0002224917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001108147,0.0005101299,0.5615253,0.00002396756,0.000006396187,0.0003831907,0.0003293774,0.0009441749,0.04301714,0.0002734433,0.00002601782,0.3918527],"study_design_scores_gemma":[0.00363242,0.002491789,0.9543024,0.00006598025,0.00002669696,0.00002628338,0.001232122,0.02593924,0.00485411,0.000882389,0.006341103,0.0002055222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886122,0.0004864917,0.005957072,0.002943765,0.00009406769,0.001300438,0.000003514581,0.00005113446,0.0005513291],"genre_scores_gemma":[0.9968621,0.00001265231,0.001310426,0.0008485335,0.00001700985,0.0007054636,0.0000232874,0.00000797607,0.0002125437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3927771,"threshold_uncertainty_score":0.3339106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02517606185558411,"score_gpt":0.3795595543381928,"score_spread":0.3543834924826087,"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."}}