{"id":"W2062057602","doi":"10.1007/s10600-012-0189-1","title":"Characterization of chemical constituents of Calotropis procera","year":2012,"lang":"en","type":"article","venue":"Chemistry of Natural Compounds","topic":"Phytochemistry and Bioactive Compounds","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Terry Fox Research Institute","keywords":"Calotropis procera; Chemistry; Characterization (materials science); Traditional medicine; Chemical constituents; Chromatography; Nanotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0000578102,0.0003119715,0.0001536164,0.0009084304,0.0003404192,0.0002526999,0.0001737447,0.0002565785,0.001741035],"category_scores_gemma":[0.0001027228,0.000121215,0.0002147329,0.0004843941,0.0002014289,0.0003938441,0.0001451444,0.0005616516,0.0003301823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001637414,"about_ca_system_score_gemma":0.0003334977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559981,"about_ca_topic_score_gemma":0.00232074,"domain_scores_codex":[0.9999628,0.00000295378,0.000002136102,0.00001227308,0.00001284899,0.00000689709],"domain_scores_gemma":[0.9998791,0.00002438392,0.00001995041,0.00001059844,0.00003761444,0.00002827916],"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":[0.00004220886,0.00001474729,0.0005317493,0.00004120534,0.000003467854,0.00006437788,0.00001958515,0.00002950787,0.9963781,0.00003955426,0.00001402076,0.002821469],"study_design_scores_gemma":[0.00001907208,0.0006446316,0.1211567,0.00001906092,0.00008950596,0.0008302608,0.0002659661,0.0003839966,0.8650498,0.0001931049,0.01133409,0.00001372741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779857,0.005413269,0.003185937,0.0001438312,0.00004183181,0.00008813533,0.001699437,0.00009316726,0.0113486],"genre_scores_gemma":[0.9831202,0.002282789,0.004026992,0.0001542858,0.00003141617,0.00006082121,0.002101956,0.00002922723,0.008192339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001741035,"threshold_uncertainty_score":0.005824327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288867899191146,"score_gpt":0.2421595783707921,"score_spread":0.2292708993788807,"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."}}