{"id":"W1850082263","doi":"10.18433/j3t60g","title":"Strategies for the Discovery and Development of Anti-Diabetic Drugs from the Natural Products of Traditional Medicines","year":2013,"lang":"en","type":"review","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Chromatography in Natural Products","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council; RMIT University","keywords":"Materia medica; Traditional medicine; Engineering ethics; China; Natural (archaeology); Natural medicine; Medicine; Alternative medicine; Engineering; Political science; Geography","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":[0.001507928,0.0003967496,0.001161801,0.0001182628,0.0003013887,0.0001694091,0.001445834,0.00007220223,0.0001532393],"category_scores_gemma":[0.0003579208,0.0001687384,0.0003781062,0.0005385694,0.002214324,0.0007234474,0.0001420179,0.0008471793,8.202278e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004446142,"about_ca_system_score_gemma":0.001686729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001169649,"about_ca_topic_score_gemma":6.905768e-7,"domain_scores_codex":[0.9964676,0.0001236267,0.001490969,0.0003673378,0.001195794,0.0003546983],"domain_scores_gemma":[0.993638,0.004122057,0.001549803,0.000189061,0.0003897551,0.0001113571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005610993,0.0002290509,0.00007860476,0.01371377,0.0011653,0.000003800259,0.0008890408,0.000005177773,0.0205282,0.0004029237,0.003902473,0.9590256],"study_design_scores_gemma":[0.001090018,0.00004270013,0.00004332082,0.00538564,0.002052897,0.0001297138,0.00122889,0.0001632295,0.043552,0.0005134752,0.9454386,0.0003595396],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02891843,0.9679761,0.00001018628,0.001434102,0.001004476,0.0004841088,0.0001070136,0.000007016626,0.00005855731],"genre_scores_gemma":[0.1375077,0.8599672,0.001084851,0.00007913729,0.00129377,0.00002416234,0.00001344154,0.00001785439,0.00001194864],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.958666,"threshold_uncertainty_score":0.8158769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456271875429084,"score_gpt":0.4031326117606726,"score_spread":0.2575054242177642,"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."}}