{"id":"W2886652683","doi":"10.11159/iccpe18.106","title":"Precipitation of Bioactive Ingredients from Extracted Centella asiatica via Gas Anti-Solvent Technique","year":2018,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Medicinal Plants and Neuroprotection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Centella; Precipitation; Solvent; Chromatography; Chemistry; Materials science; Traditional medicine; Organic chemistry; Physics; Medicine; Meteorology","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":[0.0001170464,0.0004105878,0.0002102925,0.0004301454,0.0002101999,0.0001675454,0.0001896461,0.0002121235,0.001237541],"category_scores_gemma":[0.0001173384,0.0001146418,0.0003232916,0.0002941223,0.0001699639,0.0002535025,0.0002397996,0.0004331552,0.0004040362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009305467,"about_ca_system_score_gemma":0.0001823313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004799204,"about_ca_topic_score_gemma":0.001020898,"domain_scores_codex":[0.9999384,0.00000766705,0.000006581584,0.00001257088,0.00001802975,0.00001682047],"domain_scores_gemma":[0.9999433,0.00001060569,0.00001686686,0.000009643556,0.00001334865,0.000006326787],"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":[0.00006253616,0.00001449249,0.0001127452,0.00009767576,0.000006347945,0.00009121564,0.00002943776,0.00007139061,0.9969159,0.00006932288,0.00004168302,0.002487355],"study_design_scores_gemma":[0.00001239815,0.000198799,0.001806746,0.00001677489,0.00002664367,0.0001991495,0.00002776393,0.0003450861,0.9941738,0.0000619667,0.003125263,0.000005608337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715048,0.007039261,0.01289463,0.0001928379,0.0001696946,0.00009880315,0.0002875921,0.0001864729,0.007625849],"genre_scores_gemma":[0.9884419,0.002019136,0.004771387,0.00008356601,0.0000341625,0.00003260237,0.0003225798,0.00004269071,0.00425192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001237541,"threshold_uncertainty_score":0.00413996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008599989134664242,"score_gpt":0.2249634655051815,"score_spread":0.2163634763705172,"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."}}