{"id":"W2899519336","doi":"10.1002/celc.201800985","title":"Electrochemical Detection of Isoform‐Specific Interaction between Apolipoprotein E and Amyloid‐β","year":2018,"lang":"en","type":"article","venue":"ChemElectroChem","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"University of Toronto Scarborough; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Apolipoprotein E; Gene isoform; Chemistry; Surface plasmon resonance; Cyclic voltammetry; Amyloid (mycology); Amyloid precursor protein; Biophysics; Apolipoprotein B; Peptide; Biochemistry; Alzheimer's disease; Cholesterol; Electrochemistry; Internal medicine; Nanotechnology; Biology; Materials science; Medicine; Disease; Nanoparticle; Gene","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":[0.00007954814,0.0001678365,0.0002808996,0.0001278496,0.00008183093,0.00001366376,0.00005839418,0.0001136337,0.00009437674],"category_scores_gemma":[0.00004410187,0.0001495911,0.00008266427,0.0002703045,0.0001787683,0.0001009233,0.00003626216,0.0002274848,0.00004276671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001490696,"about_ca_system_score_gemma":0.00007600922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001635674,"about_ca_topic_score_gemma":0.000003943896,"domain_scores_codex":[0.9987878,0.00001601104,0.000225816,0.0003027731,0.0002697388,0.0003978978],"domain_scores_gemma":[0.9992362,0.00003675048,0.00008344807,0.0002239565,0.0001746343,0.0002450631],"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":[0.0008145585,0.0001356724,0.003134083,0.0000571141,0.001006791,0.000002528634,0.00006467793,5.970787e-10,0.9832991,0.00002669174,0.00007006117,0.01138868],"study_design_scores_gemma":[0.001136052,0.001498549,0.005759479,0.0000423327,0.0001672139,0.00004465724,0.00004265875,0.00001886292,0.9901281,0.0003338918,0.0007178036,0.000110415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952546,0.00171699,0.0008716606,0.0001058077,0.00001855062,0.0003440895,0.000002817958,0.00005980729,0.001625696],"genre_scores_gemma":[0.9987852,0.0001766243,0.0003645812,0.00002560003,0.0004885712,0.00003767131,0.0000534584,0.00002502177,0.00004324561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01127826,"threshold_uncertainty_score":0.6100148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118297361098013,"score_gpt":0.3013405411346069,"score_spread":0.2801575675236267,"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."}}