{"id":"W2022191543","doi":"10.1002/cjce.20185","title":"Ultrasonic extraction of ferulic acid from <i>Angelica sinensis</i>","year":2009,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ferulic acid; Angelica sinensis; Extraction (chemistry); Chromatography; Yield (engineering); Solvent; Ultrasonic sensor; Supercritical fluid extraction; Chemistry; Supercritical fluid; Percolation (cognitive psychology); Volume (thermodynamics); Materials science; Organic chemistry; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001569253,0.0003225543,0.0002789858,0.0003970039,0.0001467129,0.0001460641,0.0001152838,0.0002208025,0.0007415345],"category_scores_gemma":[0.0001777711,0.00008838691,0.0002951656,0.0002518006,0.0001406188,0.0002592729,0.0001220967,0.0002697483,0.0002696945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001571147,"about_ca_system_score_gemma":0.0002114228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007800452,"about_ca_topic_score_gemma":0.001371949,"domain_scores_codex":[0.9999346,0.00001351074,0.000006637723,0.00001253172,0.00002199262,0.00001083663],"domain_scores_gemma":[0.999929,0.00002031951,0.0000192458,0.000004953461,0.00001932087,0.000007289946],"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":[0.0000518091,0.000007495052,0.0002032025,0.0001049141,0.000006292259,0.00004742814,0.00001072372,0.00004490915,0.9952052,0.00004083846,0.00002069326,0.004256478],"study_design_scores_gemma":[0.00001118453,0.000158959,0.002248502,0.00001354077,0.00003511803,0.0001889293,0.000018151,0.0005698464,0.9945439,0.00004093036,0.002164521,0.000006485221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962103,0.01082519,0.02359122,0.0002165165,0.00007604228,0.00008126185,0.000207279,0.0001199463,0.002779561],"genre_scores_gemma":[0.9779639,0.003708335,0.01484967,0.0001310648,0.00003261239,0.00002358795,0.0003616464,0.00002139467,0.002907665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007800452,"threshold_uncertainty_score":0.002480686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005825532602037851,"score_gpt":0.1881256069898409,"score_spread":0.182300074387803,"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."}}