{"id":"W3173178658","doi":"10.1039/d1na00055a","title":"Interaction of Tau construct K18 with model lipid membranes","year":2021,"lang":"en","type":"article","venue":"Nanoscale Advances","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"H2020 Marie Skłodowska-Curie Actions; Université de Bordeaux; Université de Montréal; Agence Nationale de la Recherche; Deutsches Zentrum für Neurodegenerative Erkrankungen; Fonds Québécois de la Recherche sur la Nature et les Technologies; CHIST-ERA; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Neurodegeneration; Chemistry; Membrane; Biophysics; Protein aggregation; Tau protein; Lipid bilayer; Cell biology; Fibril; Protein folding; Biochemistry; Alzheimer's disease; Biology; 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":[0.0001101812,0.0003227493,0.0001729877,0.00008824206,0.0002478167,0.0001895352,0.0001822882,0.000322689,0.001530599],"category_scores_gemma":[0.0001909987,0.0001179526,0.0001582265,0.0001564799,0.0001972518,0.0002516238,0.000143747,0.0004587375,0.0003635584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002761885,"about_ca_system_score_gemma":0.0001860197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001133492,"about_ca_topic_score_gemma":0.000994153,"domain_scores_codex":[0.9998801,0.00001461884,0.000007622338,0.00003529464,0.0000275801,0.00003477516],"domain_scores_gemma":[0.9998943,0.00003236827,0.00002636525,0.00001036954,0.00002181366,0.00001477488],"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":[0.00007830474,0.000007236333,0.00005358606,0.00001473407,0.000002107181,0.00002431748,0.00001768074,0.0000308963,0.9994988,0.00004311879,0.00002270345,0.0002064484],"study_design_scores_gemma":[0.000003805462,0.00003732539,0.0004901827,0.000001707451,0.000003422491,0.00003913481,0.00001719558,0.0003480196,0.9984995,0.00001630784,0.0005407631,0.000002593754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954152,0.000231603,0.002812313,0.0001053672,0.00002310906,0.00001864972,0.0002709263,0.000049403,0.001073368],"genre_scores_gemma":[0.9929011,0.0003548455,0.004401433,0.0000540009,0.000006042887,0.00003566615,0.000405337,0.00003987013,0.001801811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001530599,"threshold_uncertainty_score":0.005120337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003618429798625,"score_gpt":0.3183666031254537,"score_spread":0.2983304188274674,"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."}}