{"id":"W2017140634","doi":"10.1016/j.bioelechem.2011.08.007","title":"Modulation of fibril formation by a beta-sheet breaker peptide ligand: An electrochemical approach","year":2011,"lang":"en","type":"article","venue":"Bioelectrochemistry","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Thioflavin; Beta sheet; Electrochemistry; Fibril; Peptide; Chemistry; Biophysics; Amyloid beta; In vitro; Fluorescence; Combinatorial chemistry; Electrode; Biochemistry; Alzheimer's disease; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008135584,0.0001990007,0.0002710177,0.00005049253,0.00005218725,0.00001080746,0.000103165,0.0001648932,0.00007728723],"category_scores_gemma":[0.00002178946,0.0001772678,0.0001232562,0.0001802939,0.00007948223,0.0001894751,0.00002315621,0.0001599168,0.00001126756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001009748,"about_ca_system_score_gemma":0.0001487343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002740889,"about_ca_topic_score_gemma":5.720564e-7,"domain_scores_codex":[0.9985989,0.00002109276,0.0002774904,0.0003145093,0.0003763497,0.0004116037],"domain_scores_gemma":[0.9990483,0.00001109012,0.0001134959,0.0003475194,0.0001518387,0.0003277459],"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":[0.0006923772,0.0009233022,0.00255822,0.0001680664,0.0008314496,0.000004643704,0.0001351833,7.851014e-8,0.9929886,0.00002019547,0.001157118,0.0005207292],"study_design_scores_gemma":[0.001141575,0.0005657634,0.002307878,0.00002678846,0.0002447986,0.0001006666,0.00005183047,0.0008071826,0.9944543,0.0001185834,0.00003093103,0.00014969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882385,0.001250817,0.001238283,0.0000316229,0.000004955886,0.0002883652,0.00002793813,0.00007487035,0.008844695],"genre_scores_gemma":[0.9962103,0.00006057278,0.00165239,0.00003207391,0.00007402083,0.00005218411,0.001800217,0.00002593709,0.00009226889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008752426,"threshold_uncertainty_score":0.7228771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753103835998559,"score_gpt":0.2701960664204568,"score_spread":0.2426650280604712,"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."}}