{"id":"W2079059313","doi":"10.1021/ac303181q","title":"Surface Plasmon Resonance Imaging of Amyloid-β Aggregation Kinetics in the Presence of Epigallocatechin Gallate and Metals","year":2012,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":35,"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":"Chemistry; Fibril; Surface plasmon resonance; Biophysics; Thioflavin; Amyloid (mycology); Epigallocatechin gallate; Protein aggregation; Kinetics; Elongation; Nucleation; Monomer; Gallate; Polyphenol; Biochemistry; Nanoparticle; Nanotechnology; Alzheimer's disease; Antioxidant; Polymer; Nuclear chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002213334,0.0003052698,0.0002149023,0.000226522,0.0001656316,0.0002319202,0.0003002586,0.0004424987,0.0006041037],"category_scores_gemma":[0.0002847809,0.0001460007,0.0001733662,0.0002329308,0.0002205666,0.0002264441,0.0001396338,0.0004572325,0.0002253762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002080437,"about_ca_system_score_gemma":0.0001213544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008889384,"about_ca_topic_score_gemma":0.0006699999,"domain_scores_codex":[0.9998504,0.00003611306,0.000005840242,0.00003544558,0.00004129857,0.00003099607],"domain_scores_gemma":[0.9998881,0.00003615963,0.00002117377,0.00000898275,0.00003066622,0.00001489322],"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":[0.0001390151,0.00002267146,0.000153218,0.0000219707,0.000004862869,0.00003649904,0.00003721544,0.0001179692,0.9982401,0.00004051863,0.00004087223,0.001145056],"study_design_scores_gemma":[0.00001383815,0.0003031206,0.004363026,0.000006227975,0.0000200824,0.0001459088,0.00004851765,0.006267332,0.9882671,0.00006286403,0.0004915119,0.00001059181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989665,0.0008605317,0.007171878,0.0001137284,0.00002260543,0.00001383357,0.0001167249,0.0001867406,0.001848922],"genre_scores_gemma":[0.9908897,0.0005155265,0.00665945,0.00008499811,0.00001137354,0.00003082505,0.0001283237,0.00001835191,0.001661523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008889384,"threshold_uncertainty_score":0.002020895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243588848551278,"score_gpt":0.311619569923467,"score_spread":0.2872606850683391,"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."}}