{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006068962,0.0005271615,0.0003029029,0.0003432221,0.0002184413,0.0002998918,0.0007720827,0.001180778,0.000684657],"category_scores_gemma":[0.000660237,0.0002570807,0.0002335583,0.0002924137,0.0003116187,0.0003101294,0.0002679279,0.0006442724,0.0002247718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004019599,"about_ca_system_score_gemma":0.0002098723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00095596,"about_ca_topic_score_gemma":0.001040507,"domain_scores_codex":[0.9994063,0.0001838126,0.00002944686,0.0001464565,0.000159119,0.00007476773],"domain_scores_gemma":[0.9996536,0.00014733,0.00005242354,0.00001548815,0.00009657459,0.00003463319],"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":[0.00004498275,0.00002074857,0.0001527043,0.00004774609,0.000008414401,0.00004213199,0.00004023715,0.00005669079,0.9985097,0.00005285494,0.00004796858,0.0009757898],"study_design_scores_gemma":[0.00001551746,0.000284861,0.001351552,0.000009564045,0.00001638051,0.0001869859,0.0000745126,0.003832913,0.9934897,0.00004904664,0.0006788446,0.00001013184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537373,0.004577164,0.03783681,0.0004539259,0.0002035557,0.00009297684,0.0002995327,0.0003533029,0.002445406],"genre_scores_gemma":[0.9845321,0.001048784,0.01250866,0.0002267681,0.00002723672,0.00006581352,0.0001460977,0.00001076951,0.001433733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001180778,"threshold_uncertainty_score":0.003209591,"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."}}