{"id":"W2980777844","doi":"10.1016/j.jalz.2019.06.661","title":"P1‐106: A MULTIPLEX MASS SPECTROMETRY METHOD FOR CHARACTERIZATION AND QUANTIFICATION OF α‐ AND β‐SYNUCLEINS IN BRAIN TISSUE: APPLICATION TO TRANSGENIC MOUSE MODELS OF PARKINSON'S DISEASE","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; Providence Health Care; McGill University; University of British Columbia","funders":"","keywords":"Multiplex; Synuclein; Chemistry; Genetically modified mouse; Parkinson's disease; Synucleinopathies; Pathology; Biology; Transgene; Biochemistry; Alpha-synuclein; Medicine; Disease; Bioinformatics; Gene","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":[0.001016993,0.001446835,0.0005288883,0.001278949,0.0003929379,0.00054044,0.0009913113,0.00169794,0.001015862],"category_scores_gemma":[0.0004957188,0.000602809,0.0003997282,0.0006963683,0.0004465745,0.0009446731,0.0006129339,0.001286519,0.001033555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003216389,"about_ca_system_score_gemma":0.0004357679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004225663,"about_ca_topic_score_gemma":0.0007004046,"domain_scores_codex":[0.9992002,0.00009258193,0.00004490092,0.0003350748,0.0002841725,0.00004302955],"domain_scores_gemma":[0.9997233,0.00004911627,0.00007887476,0.00002694853,0.00006083871,0.00006097282],"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":[0.00005718027,0.00003895694,0.0001880879,0.00005100713,0.00001260631,0.00006366061,0.00001746208,0.00007386295,0.9936581,0.00009029826,0.0001718256,0.005576941],"study_design_scores_gemma":[0.00002563155,0.000464485,0.002939357,0.00001522473,0.00003528963,0.001478496,0.00001622524,0.007214672,0.9839045,0.0001877407,0.003683907,0.00003450379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3572498,0.006417301,0.6221099,0.0005973265,0.0003098753,0.0007931083,0.001902588,0.006395715,0.004224408],"genre_scores_gemma":[0.420321,0.005144413,0.5592693,0.0006478439,0.00008831468,0.001072181,0.001522216,0.0001940031,0.01174071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00169794,"threshold_uncertainty_score":0.005378425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664492601338163,"score_gpt":0.3080492627928659,"score_spread":0.2814043367794842,"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."}}