{"id":"W1881592383","doi":"10.1007/s12161-015-0326-0","title":"Curcuminoids in Turmeric Roots and Supplements: Method Optimization and Validation","year":2015,"lang":"en","type":"article","venue":"Food Analytical Methods","topic":"Curcumin's Biomedical Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"National Institutes of Health; Office of Dietary Supplements","keywords":"Curcuminoid; Chromatography; Analyte; Extraction (chemistry); Fractional factorial design; Curcuma; Factorial experiment; Plackett–Burman design; Chemistry; Rhizome; Mathematics; Traditional medicine; Response surface methodology; Statistics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01303647,0.002335178,0.001979866,0.00288614,0.001717034,0.001316698,0.001356395,0.001931455,0.001788959],"category_scores_gemma":[0.01155542,0.001060388,0.001582835,0.001823286,0.001488628,0.0006972781,0.001669789,0.00124801,0.001745342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205056,"about_ca_system_score_gemma":0.004719289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00656346,"about_ca_topic_score_gemma":0.01082437,"domain_scores_codex":[0.9857258,0.004248344,0.001247039,0.002348153,0.005981751,0.0004490411],"domain_scores_gemma":[0.9949371,0.001017736,0.0007344804,0.0005046898,0.002665261,0.0001406498],"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":[0.001287993,0.0007418341,0.00392527,0.004730103,0.0005952204,0.0004327674,0.0009971317,0.003681153,0.8969405,0.0007405822,0.001317583,0.08460988],"study_design_scores_gemma":[0.0002445279,0.004666368,0.01952159,0.0009155545,0.001167154,0.001334586,0.0004290363,0.008803022,0.9158735,0.0004411348,0.04631594,0.0002875701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5524538,0.0540728,0.3548762,0.001107406,0.0006405064,0.01795275,0.004729355,0.003461456,0.01070568],"genre_scores_gemma":[0.3983697,0.03112429,0.5375258,0.001149973,0.0002136266,0.01546641,0.00500001,0.0006994633,0.01045073],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01303647,"threshold_uncertainty_score":0.06894428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03891782946769948,"score_gpt":0.4009395641789283,"score_spread":0.3620217347112288,"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."}}