{"id":"W2898438795","doi":"10.1016/j.talanta.2018.10.075","title":"Determination of bioactive nonvolatile ginger constituents in dietary supplements by a rapid and economic HPLC method: Analytical method development and single-laboratory validation","year":2018,"lang":"en","type":"article","venue":"Talanta","topic":"Ginger and Zingiberaceae research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"British Columbia Institute of Technology","keywords":"Chemistry; Chromatography; High-performance liquid chromatography; Dietary supplement; Food science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001346953,0.0001340029,0.000232259,0.0002124943,0.0001003038,0.00001835868,0.00007522716,0.0001341276,0.0004572983],"category_scores_gemma":[0.00004640189,0.0001352147,0.00001655707,0.0001127248,0.0002161759,0.0001631984,0.00009399658,0.0002128602,0.0000119163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001024211,"about_ca_system_score_gemma":0.00009090218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004492136,"about_ca_topic_score_gemma":0.0000364269,"domain_scores_codex":[0.9985734,0.0004785134,0.0003095687,0.0002877422,0.00009946882,0.000251275],"domain_scores_gemma":[0.999183,0.0004564127,0.0001037557,0.00008166133,0.00006047301,0.0001146841],"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":[0.0009348022,0.0006761945,0.2785727,0.0002382854,0.0004064701,0.00002534866,0.007740243,0.000008875156,0.4021697,0.0002794078,0.002404849,0.3065431],"study_design_scores_gemma":[0.002649858,0.0002806042,0.0156172,0.00004161499,0.0001292403,0.0000206617,0.0003327224,0.04359283,0.9111278,0.0001267581,0.02576449,0.0003162186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963723,0.0001813296,0.00177711,0.0001011627,0.000135325,0.0002891779,0.0001332234,0.00001239071,0.0009979432],"genre_scores_gemma":[0.9862784,0.00008199679,0.01327621,0.0001034408,0.00004539819,0.00002058088,0.00008367473,0.0000119243,0.00009837781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5089581,"threshold_uncertainty_score":0.5513896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.129527089993491,"score_gpt":0.4755003554387006,"score_spread":0.3459732654452096,"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."}}