{"id":"W4386476440","doi":"10.1016/j.neuron.2023.08.001","title":"A new way to mitigate pathological Tau?","year":2023,"lang":"en","type":"letter","venue":"Neuron","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Institute of Neurosciences, Mental Health and Addiction; Fondation Brain Canada; ALS Society of Canada","keywords":"Neuroscience; Neuron; Pathological; Disease; Tau protein; Tau pathology; Neurodegeneration; Alzheimer's disease; Biology; Psychology; Medicine; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008817621,0.0002167938,0.0001903758,0.00007068554,0.00005081937,0.00005100998,0.0003819959,0.0005542662,0.00005161056],"category_scores_gemma":[0.0002017527,0.0001878493,0.0001358837,0.0001061846,0.00002547175,9.609377e-7,0.0002986607,0.0007374871,0.0006768279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000108317,"about_ca_system_score_gemma":0.00006424564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005200073,"about_ca_topic_score_gemma":0.00002317275,"domain_scores_codex":[0.9983501,0.00009589186,0.0001516628,0.0006072386,0.0002588913,0.000536174],"domain_scores_gemma":[0.9992495,0.00002121707,0.00003536763,0.000483134,0.00003313471,0.0001776674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001507168,0.000002577856,0.00002502849,0.00001451319,0.000007596633,0.0006364811,0.000002968226,0.000003702545,0.2740267,8.803236e-7,0.7210638,0.004200716],"study_design_scores_gemma":[0.00014891,0.0005402823,0.001281302,0.00001867222,0.000006557376,0.00002669438,0.000001553735,0.000005210356,0.01035102,0.00002538639,0.9873856,0.0002088363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.3059276,0.0001844807,0.000457787,0.6899921,0.0008189246,0.0005554065,0.00008202031,0.0001045975,0.001877071],"genre_scores_gemma":[0.003728238,0.0001682321,0.0003631368,0.7755323,0.008787825,0.00006050338,0.0007563492,0.0001425509,0.2104609],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3021993,"threshold_uncertainty_score":0.8699478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02434875815666812,"score_gpt":0.2816910545685303,"score_spread":0.2573422964118622,"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."}}