{"id":"W2384292092","doi":"","title":"Optimization of Extraction Process of Ginsenoside from Panax quinquefolius L. Collected from Canada by Response Surface Methodology","year":2013,"lang":"en","type":"article","venue":"Xiandai shipin keji","topic":"Ginseng Biological Effects and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Response surface methodology; Extraction (chemistry); Yield (engineering); Chromatography; Ginsenoside; Chemistry; Ethanol; Central composite design; Quadratic model; Materials science; Biochemistry; Medicine; Ginseng","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002048133,0.0001447779,0.0002647887,0.00001914539,0.00005659889,0.00001001018,0.0001694808,0.0002238593,0.0002140743],"category_scores_gemma":[0.0005443388,0.0001253939,0.00004716968,0.0001601291,0.00009874422,0.0000054485,0.00003280275,0.00008963732,0.000001841023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002850353,"about_ca_system_score_gemma":0.0002811658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.292392,"about_ca_topic_score_gemma":0.02660896,"domain_scores_codex":[0.9985874,0.0004729442,0.000323454,0.0003267525,0.0001196896,0.0001697164],"domain_scores_gemma":[0.9987648,0.0004014588,0.0002466445,0.0002851262,0.0002220656,0.00007990758],"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":[0.000364455,0.00006754846,0.001449009,0.000009359091,0.00005387792,3.591748e-7,0.00004910311,0.004987495,0.9879698,0.000004609784,0.004752375,0.0002920559],"study_design_scores_gemma":[0.000538989,0.0002260252,0.0298299,0.00001592939,0.00002892171,0.000001084028,0.0001734946,0.001138105,0.9660107,0.0001571186,0.001708991,0.000170758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855297,0.0004238507,0.01257992,0.0004365889,0.0000804012,0.0003527865,0.0005036432,0.00001100009,0.00008211398],"genre_scores_gemma":[0.9910739,0.00006741133,0.007580966,0.0001392107,0.00004176515,0.00004188579,0.0008720603,0.00001490193,0.0001679043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2657831,"threshold_uncertainty_score":0.9911529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587705745508991,"score_gpt":0.2769627202758334,"score_spread":0.2610856628207435,"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."}}