{"id":"W2141880963","doi":"10.1002/elan.201500138","title":"Electroanalysis of Natural Compounds as Copper Chelating Agents for Alzheimer’s Disease Therapy","year":2015,"lang":"en","type":"article","venue":"Electroanalysis","topic":"Medicinal Plants and Neuroprotection","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Alzheimer Society","keywords":"Clioquinol; Baicalein; Chelation; Chemistry; Chelation therapy; Differential pulse voltammetry; Copper; Resveratrol; Pharmacology; Nuclear chemistry; Cyclic voltammetry; Electrochemistry; Biochemistry; Inorganic chemistry; Medicine; Organic 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":[0.0005049527,0.0002387113,0.00067795,0.000397692,0.0001088422,0.00002001172,0.0001294755,0.00006657147,0.0001058879],"category_scores_gemma":[0.0003762624,0.0001824016,0.0004845138,0.000897824,0.00005419687,0.00009334984,0.00001601728,0.0002646018,0.0000156348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009170491,"about_ca_system_score_gemma":0.0002359449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002127008,"about_ca_topic_score_gemma":0.00002060758,"domain_scores_codex":[0.9979364,0.00009832083,0.0004743839,0.0004020291,0.0006814962,0.0004073546],"domain_scores_gemma":[0.9984644,0.0000939481,0.0002767404,0.0003813539,0.0004027583,0.0003808007],"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":[0.03500373,0.002683871,0.1181337,0.0003127668,0.03213388,0.0002234524,0.001772458,0.0006032098,0.6666099,0.001251243,0.04821336,0.09305847],"study_design_scores_gemma":[0.02771714,0.01262168,0.07027599,0.0003515871,0.04463219,0.0004110422,0.0008575773,0.1656162,0.6063876,0.00310537,0.06575295,0.002270682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876341,0.006831928,0.0006147256,0.001811094,0.00009887842,0.0007406038,0.00001000768,0.00007554099,0.002183147],"genre_scores_gemma":[0.9964219,0.0002229433,0.0003392945,0.0008791324,0.0002484528,0.00005381689,0.0001889164,0.00003511908,0.001610473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1650129,"threshold_uncertainty_score":0.743812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06955650287480752,"score_gpt":0.3415223727359507,"score_spread":0.2719658698611432,"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."}}