{"id":"W2888954448","doi":"10.1101/405647","title":"Tauopathy in the <i>APP</i> <sub>swe</sub> / <i>PS1</i> <sub>ΔE9</sub> mouse model of familial Alzheimer’s disease","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Det Sundhedsvidenskabelige Fakultet, Københavns Universitet; VILLUM Center for Bioanalytical Sciences; Avid Radiopharmaceuticals; Faculty of Health and Medical Sciences, University of Western Australia; A.P. Møller og Hustru Chastine Mc-Kinney Møllers Fond til almene Formaal","keywords":"Tauopathy; Genetically modified mouse; Pathology; Amyloidosis; Pathogenesis; Transgene; Alzheimer's disease; Biology; Tau protein; Amyloid (mycology); Disease; Neuroscience; Medicine; Neurodegeneration; Gene; Genetics","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":[0.0002190975,0.0008375978,0.0003592159,0.0009130455,0.0003742356,0.0003920022,0.0002185071,0.0005563889,0.001885968],"category_scores_gemma":[0.00008134569,0.0003571008,0.0005204493,0.0002445767,0.0004376812,0.0003866334,0.0002253018,0.001167992,0.0005481419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003653872,"about_ca_system_score_gemma":0.0001873285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001143281,"about_ca_topic_score_gemma":0.001742097,"domain_scores_codex":[0.9998116,0.00002292277,0.0000261193,0.00005320289,0.00004315949,0.00004303228],"domain_scores_gemma":[0.9998041,0.00001432614,0.00006195249,0.0000223581,0.000024433,0.00007289589],"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":[0.000184698,0.00007736426,0.0001933147,0.00002808885,0.000009766286,0.000126157,0.00002815241,0.00002429379,0.9988726,0.00006264079,0.00004376428,0.0003492489],"study_design_scores_gemma":[0.00005694139,0.00152128,0.01348528,0.00002696627,0.00007348335,0.001469308,0.0001251348,0.0006691875,0.9798497,0.0001554566,0.002554422,0.0000129625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940368,0.0009418941,0.001986586,0.0001598837,0.00005100924,0.00006172607,0.00120693,0.0001411272,0.001414004],"genre_scores_gemma":[0.9862632,0.001244356,0.003047039,0.0001335926,0.00001600284,0.0001047305,0.001346501,0.00008676722,0.007757906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001885968,"threshold_uncertainty_score":0.006309211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02834924708969816,"score_gpt":0.2582095098567642,"score_spread":0.2298602627670661,"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."}}