{"id":"W2887882232","doi":"10.22159/ajpcr.2018.v11i8.25738","title":"ARTEMISININ CONTENT ON ARTEMISIA ANNUA L. TREATED BY GLORIOSA SUPERBA SEEDS’ WATER EXTRACT","year":2018,"lang":"en","type":"article","venue":"Asian Journal of Pharmaceutical and Clinical Research","topic":"Medicinal Plant Research","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Drug Research and Development","funders":"","keywords":"Artemisia annua; Artemisinin; Traditional medicine; Maceration (sewage); Horticulture; Chemistry; Water extraction; Botany; Extraction (chemistry); Biology; Medicine; Chromatography; Environmental science","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":[0.00008461491,0.0004046918,0.0003465236,0.0002896548,0.0001526984,0.0001819822,0.0001428955,0.0002610415,0.001480748],"category_scores_gemma":[0.000130924,0.0001065815,0.0002567987,0.0001728479,0.0001352368,0.000213381,0.0001634395,0.0005543272,0.0003334418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159099,"about_ca_system_score_gemma":0.0001030235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001179923,"about_ca_topic_score_gemma":0.002203937,"domain_scores_codex":[0.9999274,0.00001193384,0.0000081751,0.00001965355,0.00002178025,0.00001097234],"domain_scores_gemma":[0.9998901,0.00001666607,0.00003099211,0.00001042129,0.00002898081,0.0000228318],"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":[0.0001296898,0.00002033849,0.0001928192,0.00004941553,0.000005004976,0.0000335692,0.00001738217,0.00002015408,0.9986175,0.00001009248,0.0000146438,0.0008893537],"study_design_scores_gemma":[0.00002073236,0.001468157,0.01897055,0.00001938806,0.00006109454,0.0002340461,0.0001001114,0.0003336038,0.9747791,0.00004216317,0.0039596,0.00001153595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932674,0.003337864,0.001013859,0.000104748,0.00002811371,0.00003265726,0.0003376897,0.00007514261,0.001802649],"genre_scores_gemma":[0.9922214,0.001244658,0.001379658,0.0001295258,0.0000111383,0.00002791332,0.0006682408,0.00002339643,0.004293983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001480748,"threshold_uncertainty_score":0.004953623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3325466460981569,"score_gpt":0.480080095985162,"score_spread":0.1475334498870051,"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."}}