{"id":"W4312088440","doi":"10.1002/alz.062540","title":"Biomarker modelling of Alzheimer's disease using in vivo Braak staging","year":2022,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University Health Centre; McGill University","funders":"","keywords":"Biomarker; Pathology; Neurodegeneration; Dementia; Stage (stratigraphy); Alzheimer's disease; Gold standard (test); Cognitive impairment; In vivo; Medicine; Abnormality; Amyloid (mycology); Disease; Neuroscience; Psychology; Internal medicine; Biology; Psychiatry","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":[0.0003581583,0.0006074274,0.0002844846,0.0003040794,0.0001918443,0.0007770687,0.0004850222,0.0004609872,0.0008203185],"category_scores_gemma":[0.001074295,0.0002295737,0.0004227321,0.000210136,0.0003801041,0.0003592443,0.00028936,0.0003466384,0.0002049643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006780041,"about_ca_system_score_gemma":0.000517253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009726143,"about_ca_topic_score_gemma":0.005521789,"domain_scores_codex":[0.9998994,0.00004343602,0.000006439487,0.00002526757,0.00001256625,0.00001297608],"domain_scores_gemma":[0.9996446,0.0001352978,0.00009094231,0.00004378044,0.00006345601,0.00002191308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001246532,0.00004245944,0.007961025,0.00003758589,0.00003626685,0.00008605253,0.0000545331,0.9700592,0.01343935,0.002094653,0.0002336372,0.005830563],"study_design_scores_gemma":[0.000005527139,0.00004620479,0.001920362,0.000002377646,0.000007414874,0.00003097969,0.000006092989,0.995479,0.001384999,0.0009118341,0.0001973858,0.000007829853],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7358835,0.0003611161,0.2582676,0.0001873652,0.00005597195,0.0001288177,0.0007725901,0.0003601016,0.003982918],"genre_scores_gemma":[0.9846717,0.0001102382,0.01340437,0.00001874746,0.000005446319,0.00006843274,0.0002032687,0.00001773529,0.001500094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009726143,"threshold_uncertainty_score":0.01933903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08253818945408661,"score_gpt":0.32713287009276,"score_spread":0.2445946806386734,"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."}}