{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002406849,0.0001009461,0.0002268691,0.00004714599,0.0000428831,0.000007564111,0.0000358419,0.00003216622,0.000133373],"category_scores_gemma":[0.00002820603,0.00007171353,0.0000618807,0.0001564443,0.0001332712,0.0002208798,0.00001488778,0.00008033247,0.00001382935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002339363,"about_ca_system_score_gemma":0.0002204117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009590626,"about_ca_topic_score_gemma":0.00002739522,"domain_scores_codex":[0.999173,0.00002321644,0.0001403051,0.0002019523,0.0002928689,0.0001686407],"domain_scores_gemma":[0.9993517,0.0000518977,0.000060724,0.0001882501,0.0002081082,0.0001393075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01766301,0.008521967,0.4855385,0.005025591,0.02360414,0.003303375,0.001185772,0.004857869,0.1308154,0.003966335,0.001597482,0.3139206],"study_design_scores_gemma":[0.007204121,0.001154988,0.005791756,0.0008228117,0.001012943,0.0005131249,0.001148884,0.003861167,0.9719102,0.00117377,0.005077822,0.0003283438],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650137,0.02398878,0.0004880327,0.0004493337,0.0001168356,0.0002782408,0.00005579453,0.00004971398,0.009559557],"genre_scores_gemma":[0.9948628,0.002077293,0.002642229,0.00005378749,0.00004776015,0.00001964043,0.00004686064,0.00001215076,0.0002375095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8410949,"threshold_uncertainty_score":0.2924393,"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."}}