{"id":"W2967276088","doi":"10.20381/ruor-23496","title":"A Multivariate Approach to Integration of Ethnobotanical, Pharmacological, and Phytochemical Analyses of Cree and Squamish Traditional Herbal Medicines for Anti-Diabetes Use","year":2019,"lang":"en","type":"dissertation","venue":"uO Research (University of Ottawa)","topic":"Ethnobotanical and Medicinal Plants Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phytochemical; Ethnobotany; Traditional medicine; Medicine; Multivariate statistics; Diabetes mellitus; Medicinal plants; Computer science; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001578793,0.0007156783,0.0006868466,0.006413133,0.0006020141,0.001500942,0.0003698286,0.0002165476,0.003163444],"category_scores_gemma":[0.003048303,0.0001589945,0.0009196457,0.004337484,0.0004375642,0.0004236488,0.001074129,0.0005352193,0.0003242581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007080869,"about_ca_system_score_gemma":0.000954313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01860347,"about_ca_topic_score_gemma":0.0253622,"domain_scores_codex":[0.9990171,0.0003071029,0.00007004217,0.000200418,0.0002994638,0.0001058539],"domain_scores_gemma":[0.9987494,0.0004623938,0.0001658656,0.0001477999,0.0004098313,0.00006480183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001082339,0.0007071975,0.1551265,0.000668996,0.001707415,0.0005340112,0.002057314,0.005709609,0.1138352,0.003439436,0.003896741,0.7112352],"study_design_scores_gemma":[0.00004825996,0.0008186253,0.8574512,0.0001238166,0.0006673668,0.0006095729,0.0045784,0.08203796,0.0203567,0.005102706,0.02802121,0.0001841455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6980947,0.002379055,0.2733184,0.0006559708,0.000114215,0.0006997979,0.009504077,0.002147948,0.01308595],"genre_scores_gemma":[0.8486412,0.0009019666,0.142619,0.0001494991,0.00008820473,0.0004119694,0.00419498,0.0001978701,0.00279528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9813966,"threshold_uncertainty_score":0.0369904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2604742627366697,"score_gpt":0.3836967744800347,"score_spread":0.123222511743365,"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."}}