{"id":"W2054212962","doi":"10.1371/journal.pone.0025954","title":"Effect of Surfaces on Amyloid Fibril Formation","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Universities Space Research Association","keywords":"Fibril; Chemistry; Biophysics; Monomer; Amyloid (mycology); Charge density; Amyloid β; Amyloid beta; Static electricity; Amyloid disease; Membrane; Peptide; Surface charge; Atomic force microscopy; Molecular dynamics; Crystallography; Amyloid fibril; Materials science; Nanotechnology; Computational chemistry; Polymer; Organic chemistry; Biochemistry; Physical chemistry","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":[0.0002524018,0.0003571536,0.0003495929,0.0001480554,0.0002740567,0.0003762308,0.0001771773,0.000340294,0.001743814],"category_scores_gemma":[0.000616079,0.0002274125,0.0002850539,0.0001338318,0.0002624767,0.0002614738,0.0003269665,0.0003235284,0.0002103184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001490401,"about_ca_system_score_gemma":0.0001085215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005879732,"about_ca_topic_score_gemma":0.0004433121,"domain_scores_codex":[0.9996705,0.00007050388,0.00001696404,0.00005091496,0.0001172732,0.00007386525],"domain_scores_gemma":[0.9996536,0.0002001055,0.0000312462,0.0000216022,0.00006160777,0.00003192775],"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":[0.0001689466,0.00002574175,0.0003207515,0.00009209897,0.00001588903,0.00007077208,0.00004311737,0.0002333033,0.9972283,0.00006794451,0.00004396301,0.001689094],"study_design_scores_gemma":[0.00001629991,0.0004221522,0.004563536,0.000007523656,0.00002659392,0.0001019542,0.00007272492,0.001571488,0.992014,0.00008025539,0.001111408,0.00001210519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968423,0.001096793,0.0006449906,0.00005950003,0.0000371044,0.00001797663,0.00006199842,0.0000163353,0.001223089],"genre_scores_gemma":[0.9975632,0.0005930367,0.001103078,0.00005216352,0.00001527543,0.00001882642,0.00007597879,0.00001145281,0.0005670216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001743814,"threshold_uncertainty_score":0.005833685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0732745124246778,"score_gpt":0.2922750521893314,"score_spread":0.2190005397646536,"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."}}