{"id":"W2057349526","doi":"10.1111/cbdd.12552","title":"Curcumin Binding to Beta Amyloid: A Computational Study","year":2015,"lang":"en","type":"article","venue":"Chemical Biology & Drug Design","topic":"Curcumin's Biomedical Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Ontario Mental Health Foundation","keywords":"Curcumin; Chemistry; Amyloid (mycology); BETA (programming language); Biochemistry; Amyloid beta; Computational biology; Biophysics; Computer science; Biology; Peptide","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":[0.0004918542,0.000220574,0.0002395158,0.00007668409,0.00006775193,0.00001964901,0.0004685776,0.0002029165,0.00002855687],"category_scores_gemma":[0.0002552194,0.0002021426,0.0000694722,0.0002983877,0.0002246391,0.000003163215,0.0003042649,0.0001489996,0.000319573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004987936,"about_ca_system_score_gemma":0.0001543818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001599183,"about_ca_topic_score_gemma":0.000002018302,"domain_scores_codex":[0.9983331,0.0001396414,0.000324535,0.0006678174,0.0001646567,0.0003702355],"domain_scores_gemma":[0.9988487,0.00009642042,0.00007339483,0.000387507,0.0001473571,0.0004465937],"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":[0.00009789124,0.0004286761,0.002808678,0.000003007058,0.00007596301,0.000002880847,0.0002242758,0.00006884157,0.9546787,0.0001477395,0.0392599,0.002203448],"study_design_scores_gemma":[0.002295648,0.0007695595,0.0004735342,0.00001062304,0.00007323934,0.00003370584,0.0006245264,0.0002277119,0.8920044,0.00216063,0.100613,0.0007134016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9242358,0.0001460759,0.0728157,0.001572435,0.0001092464,0.0007398328,0.00004813853,0.00005277459,0.0002800412],"genre_scores_gemma":[0.9862881,0.000001883508,0.01164146,0.000673903,0.0003177335,0.0002302432,0.0005448927,0.00002549203,0.000276239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06267428,"threshold_uncertainty_score":0.8243135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03603107137961462,"score_gpt":0.3089173939142231,"score_spread":0.2728863225346085,"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."}}