{"id":"W2089689179","doi":"10.5539/ijc.v5n4p103","title":"Optimization of Extraction Conditions and Phytochemical Screening of Root Extract of Synadenium glaucescens Pax","year":2013,"lang":"en","type":"article","venue":"International Journal of Chemistry","topic":"Essential Oils and Antimicrobial Activity","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Dichloromethane; Phytochemical; Chromatography; Petroleum ether; Extraction (chemistry); Lupeol; Organic chemistry; Solvent; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007713583,0.00006047985,0.0001550667,0.00001153562,0.00001666758,0.00001539772,0.0001414215,0.00006456077,0.0004701987],"category_scores_gemma":[0.00006989222,0.00003107732,0.00009608179,0.00005461659,0.0000819283,0.0002445843,0.00002749616,0.0001023976,1.895381e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009205167,"about_ca_system_score_gemma":0.00001055285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007820263,"about_ca_topic_score_gemma":0.000003207353,"domain_scores_codex":[0.9992707,0.00001235917,0.0003700589,0.00006727268,0.0002220122,0.00005760032],"domain_scores_gemma":[0.9986278,0.0001134079,0.000658381,0.00001865721,0.0005408858,0.00004086153],"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":[0.00003656254,0.0001431019,0.003309472,0.00002028696,0.0000441889,0.000001486017,0.00001038244,0.000272163,0.993316,0.00000530589,0.00008515076,0.002755916],"study_design_scores_gemma":[0.0001544299,0.00003485346,0.03001831,0.0001469726,0.00001677497,0.00006927233,0.00005134466,0.0003689377,0.9689789,0.00007849064,0.0000349093,0.00004682591],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986627,0.00004751269,0.0004251933,0.000491846,0.00006720493,0.0000286447,0.00004239761,0.000002275934,0.0002322863],"genre_scores_gemma":[0.9990106,0.00004879754,0.0007140871,0.000006927633,0.0001739991,5.375569e-7,0.00002087243,7.155517e-7,0.000023493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02670883,"threshold_uncertainty_score":0.5148346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00835856284220139,"score_gpt":0.2377730056221907,"score_spread":0.2294144427799893,"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."}}