{"id":"W2020172353","doi":"10.1016/j.supflu.2006.01.016","title":"Extraction of ginsenosides from North American ginseng using modified supercritical carbon dioxide","year":2006,"lang":"en","type":"article","venue":"The Journal of Supercritical Fluids","topic":"Ginseng Biological Effects and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Chemistry; Ginseng; Supercritical carbon dioxide; Chromatography; American ginseng; Supercritical fluid extraction; Methanol; Supercritical fluid; Extraction (chemistry); Ginsenoside; Desorption; Solubility; Solvent; Carbon dioxide; High-performance liquid chromatography; Supercritical fluid chromatography; Mass spectrometry; Organic chemistry; Adsorption","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":[0.0001424968,0.0003950911,0.0003207227,0.0005683941,0.000561846,0.000280764,0.0001465873,0.0002149839,0.0005782361],"category_scores_gemma":[0.0001919745,0.0001994722,0.0003016729,0.0004939091,0.0003057906,0.0004404773,0.0002143115,0.0003457565,0.0002451702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000277188,"about_ca_system_score_gemma":0.0006865776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005175444,"about_ca_topic_score_gemma":0.01453861,"domain_scores_codex":[0.9998831,0.00001450156,0.00001126355,0.00002386323,0.00004548788,0.0000217748],"domain_scores_gemma":[0.9999173,0.00002343012,0.00001206461,0.00001006092,0.00002746829,0.000009834214],"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":[0.0001924001,0.00002858411,0.000460365,0.00005318726,0.00001470907,0.00007109468,0.00005151312,0.00008583494,0.9945545,0.00008356827,0.00007370895,0.004330557],"study_design_scores_gemma":[0.00001028516,0.00008036815,0.004662939,0.00000582791,0.00003641162,0.0001104135,0.00004583355,0.0005796946,0.9919224,0.00004102592,0.0024935,0.00001135943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854398,0.002341448,0.007447674,0.0001830593,0.00005747026,0.0001298052,0.0003080722,0.00007117356,0.004021445],"genre_scores_gemma":[0.9836495,0.00157577,0.008855251,0.00009445834,0.00003057295,0.00007186628,0.0004750735,0.00002625343,0.005221233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005175444,"threshold_uncertainty_score":0.01029062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643196253333801,"score_gpt":0.2731086400547132,"score_spread":0.2566766775213752,"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."}}