{"id":"W2078401923","doi":"10.1002/elan.201500044","title":"Electrochemical Detection of Interaction Between α‐Synuclein and Clioquinol","year":2015,"lang":"en","type":"article","venue":"Electroanalysis","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada","keywords":"Clioquinol; Thioflavin; Chemistry; Electrochemistry; Congo red; Pathogenesis; Biophysics; Fluorescence; Pharmacology; Combinatorial chemistry; Alzheimer's disease; Disease; Medicine; Biology; Electrode; Internal medicine; Organic chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001153349,0.000143759,0.0002982047,0.0001710204,0.00002144341,0.00001634127,0.00007413427,0.0001139241,0.000009054211],"category_scores_gemma":[0.00005416724,0.0001369476,0.00009281289,0.000542788,0.00003007582,0.00008518442,0.00001371907,0.0002341239,0.000007965585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126231,"about_ca_system_score_gemma":0.000007451911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002966957,"about_ca_topic_score_gemma":0.00002745266,"domain_scores_codex":[0.9990718,0.00002750129,0.0002736634,0.0001772462,0.0001755291,0.000274286],"domain_scores_gemma":[0.9995672,0.00004742477,0.0000512228,0.0001333619,0.00007009376,0.0001307557],"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":[0.00002275251,0.000009485108,0.001262508,0.00001134757,0.0001797274,3.605515e-7,0.00003873894,0.00002693461,0.9924937,0.00001138041,0.00006016549,0.005882891],"study_design_scores_gemma":[0.0001730245,0.0001264126,0.000444567,0.000004917191,0.0001717845,0.000008762378,0.00002707082,0.006647941,0.9914019,0.0002482631,0.0005982902,0.0001470605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951943,0.000500441,0.003374372,0.00004183003,0.00001966241,0.0000513207,0.000001047445,0.0001331598,0.0006838599],"genre_scores_gemma":[0.99942,0.00009444737,0.0002844618,0.00001013714,0.000119055,0.000003791826,0.00001086357,0.00002084013,0.00003638368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006621006,"threshold_uncertainty_score":0.5584559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070019884716207,"score_gpt":0.2172027526606602,"score_spread":0.2065025538134982,"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."}}