{"id":"W3042402214","doi":"10.1093/brain/awaa180","title":"18F-MK-6240 PET for early and late detection of neurofibrillary tangles","year":2020,"lang":"en","type":"article","venue":"Brain","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":257,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Montreal Neurological Institute and Hospital; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; McGill University; Douglas Mental Health University Institute","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Cummings Foundation; Alzheimer's Association","keywords":"Neuroscience; Neurofibrillary tangle; Pathology; Biology; Medicine; Senile plaques; Alzheimer's disease; Disease","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002836837,0.0002526086,0.0002796697,0.000295688,0.0001362691,0.0001795864,0.0001133702,0.0003556608,0.0009113845],"category_scores_gemma":[0.0002280755,0.0001843425,0.0001049287,0.0001323862,0.0001603482,0.0001868885,0.0001084231,0.0001298663,0.0002124538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001442791,"about_ca_system_score_gemma":0.00009140278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036709,"about_ca_topic_score_gemma":0.001870046,"domain_scores_codex":[0.9999521,0.0000145672,0.00000337599,0.00001298991,0.000007917361,0.000009183756],"domain_scores_gemma":[0.9999576,0.0000151422,0.00001006691,0.000003179798,0.000004680245,0.000009462201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004379931,0.0002491321,0.1118639,0.0001976868,0.0001002856,0.001663656,0.0004144129,0.0006422796,0.8329543,0.0001662113,0.0003534757,0.04701477],"study_design_scores_gemma":[0.000185663,0.002951648,0.8967022,0.00002233422,0.0001427089,0.01272501,0.0002715116,0.00411245,0.07990903,0.0003975255,0.002548812,0.00003109562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972988,0.001540186,0.0007992721,0.00001547978,0.000002793767,0.00001052606,0.0000301686,0.00001412577,0.0002886244],"genre_scores_gemma":[0.9969774,0.0008668595,0.001514639,0.00002063962,0.000005980312,0.00001557414,0.00005561602,0.000003245599,0.0005400819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001036709,"threshold_uncertainty_score":0.003048897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794808892231174,"score_gpt":0.2711424266008474,"score_spread":0.2531943376785357,"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."}}