{"id":"W2975190007","doi":"10.3390/biom9100551","title":"Antidiabetic Potential of Medicinal Plants and Their Active Components","year":2019,"lang":"en","type":"review","venue":"Biomolecules","topic":"Natural Antidiabetic Agents Studies","field":"Medicine","cited_by":724,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"Instituto de Salud Carlos III; Comisión Nacional de Investigación Científica y Tecnológica; Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición","keywords":"Blood sugar; Diabetes mellitus; Medicinal plants; Medicine; Traditional medicine; Action (physics); Pharmacology; Biotechnology; Toxicology; Biology; Endocrinology","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":[0.0001630687,0.0005657247,0.0006200889,0.002034306,0.0002138345,0.0006494893,0.0003500569,0.0004535517,0.003493105],"category_scores_gemma":[0.0002235843,0.0001341064,0.0003866207,0.001263163,0.0002056016,0.0005042754,0.0003286472,0.0006822596,0.0008415731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002726782,"about_ca_system_score_gemma":0.0004101946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006094083,"about_ca_topic_score_gemma":0.001094025,"domain_scores_codex":[0.9999186,0.00001236829,0.00001178461,0.00001663742,0.00003173148,0.00000892862],"domain_scores_gemma":[0.9999164,0.00004009818,0.0000167705,0.000002713395,0.00001806908,0.000005822631],"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":[0.00007662811,0.0001262152,0.0002939188,0.03406463,0.0001236968,0.0003411915,0.00009516264,0.000396366,0.01035661,0.004643078,0.009475485,0.9400071],"study_design_scores_gemma":[0.00001512341,0.0001706782,0.002083546,0.006565618,0.0001986033,0.002259752,0.000107233,0.0001115868,0.003308918,0.002385704,0.9827755,0.00001781831],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005064171,0.997725,0.00009824035,0.0001122299,0.00007982497,0.000003334667,0.00002135438,0.000005062792,0.001448591],"genre_scores_gemma":[0.003020235,0.9958787,0.0001990453,0.00008670019,0.00008422903,0.000004772318,0.00002688666,8.660886e-7,0.0006985469],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003493105,"threshold_uncertainty_score":0.01168561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05314081515314621,"score_gpt":0.3210451239569425,"score_spread":0.2679043088037962,"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."}}