{"id":"W4388179855","doi":"10.24018/ejfood.2023.5.5.701","title":"Potential Role and International Trade of Medicinal and Aromatic Plants in the World","year":2023,"lang":"en","type":"article","venue":"European Journal of Agriculture and Food Sciences","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aromatic plants; Business; Medicinal plants; Geography; Biodiversity; Sustainability; International market; Agricultural economics; Natural resource economics; Socioeconomics; Traditional medicine; International trade; Economics; Medicine; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001106133,0.00007004023,0.000117219,0.00003048898,0.0001258462,0.0001096064,0.0002291128,0.00001267139,0.000007987542],"category_scores_gemma":[0.00002477965,0.00001796914,0.00002682079,0.0002481434,0.0001338846,0.0002583704,0.00004507871,0.0001123123,5.784835e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001928524,"about_ca_system_score_gemma":0.000002703874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007041678,"about_ca_topic_score_gemma":0.0001341301,"domain_scores_codex":[0.9992588,0.000137263,0.0002410401,0.0001025375,0.0001618448,0.00009851012],"domain_scores_gemma":[0.9995098,0.0001887147,0.0002344928,0.0000111539,0.000008394559,0.00004740601],"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":[0.0002296338,0.000362473,0.09699769,0.00005926071,0.0002726378,0.0002882038,0.0180923,0.0001795703,0.3014739,0.003490922,0.0156245,0.5629289],"study_design_scores_gemma":[0.0001517276,0.0006518228,0.979405,0.00004869029,0.00001206467,0.0003589795,0.0111121,0.0000399563,0.00009187632,0.0005264522,0.007535821,0.00006544163],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985697,0.001092624,1.383397e-7,0.01100945,0.00008247026,0.00004051047,0.000006922951,0.000002960198,0.002067939],"genre_scores_gemma":[0.9986212,0.0009806176,0.0000315415,0.0001247724,0.0002078552,2.318821e-7,0.000002360747,2.624547e-7,0.00003117962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8824074,"threshold_uncertainty_score":0.1056937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589086914210064,"score_gpt":0.2236530548843056,"score_spread":0.197762185742205,"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."}}