{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00128615,0.0005316169,0.0004258736,0.0008795836,0.0002552725,0.0005732545,0.0003633929,0.0003493419,0.0005004827],"category_scores_gemma":[0.002465436,0.000149819,0.0004679876,0.0003595611,0.0001954006,0.0003837947,0.000647368,0.0005384642,0.0001786046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003808324,"about_ca_system_score_gemma":0.0005194229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004684705,"about_ca_topic_score_gemma":0.009693519,"domain_scores_codex":[0.9997836,0.00006042944,0.00001643808,0.00006164153,0.00004007557,0.00003791982],"domain_scores_gemma":[0.9995994,0.000132312,0.00007732175,0.00006328844,0.00008605094,0.00004169875],"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":[0.001378246,0.0004553867,0.3492949,0.0001930899,0.0005576153,0.0009239226,0.0003477564,0.1328278,0.06168598,0.001893253,0.004637024,0.445805],"study_design_scores_gemma":[0.00002288674,0.0002276571,0.1186192,0.00004567521,0.0001316719,0.0004609419,0.0001042201,0.8587903,0.01619216,0.004192216,0.001186243,0.00002695858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466622,0.000596542,0.05029926,0.0002094964,0.0000232731,0.0000446019,0.0006560992,0.0003960736,0.001112476],"genre_scores_gemma":[0.9879723,0.0001225198,0.01091874,0.00003380847,0.000008593425,0.0000136399,0.0006050975,0.00001621951,0.0003090366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004684705,"threshold_uncertainty_score":0.009314895,"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."}}