{"id":"W7098916124","doi":"","title":"(English only/Únicamente en inglés/Seulement en anglais) ANALYSIS OF TRADE IN PARTS AND DERIVATIVES OF HYDRASTIS CANADENSIS FROM CANADA AND THE US","year":2014,"lang":"en","type":"article","venue":"","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CITES; Herbaceous plant; Range (aeronautics); Annotation","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":[0.00047776,0.001185177,0.0007091431,0.006122012,0.001360489,0.002412157,0.0009450814,0.0005901277,0.2197171],"category_scores_gemma":[0.002111783,0.0003654531,0.0004013192,0.01086682,0.0007632712,0.0018422,0.001124872,0.0009148054,0.1542926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00235154,"about_ca_system_score_gemma":0.003947103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.239027,"about_ca_topic_score_gemma":0.2670016,"domain_scores_codex":[0.9994872,0.00002932599,0.00006468219,0.0001095407,0.0002458861,0.00006333417],"domain_scores_gemma":[0.9973618,0.0003630238,0.0002407405,0.0001722054,0.0017574,0.0001047442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000950435,0.00001444945,0.001269711,0.00127381,0.00001403434,0.0002113152,0.0008025588,0.0000698419,0.002277276,0.004080018,0.9490585,0.04083338],"study_design_scores_gemma":[0.000003850304,0.000003658866,0.003857195,0.0001725577,0.000005082018,0.0000522696,0.0001695355,0.00002345455,0.0002619896,0.0001548337,0.9952886,0.000006930229],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.00768204,0.005227849,0.004009787,0.003853825,0.00959078,0.0001781656,0.5650001,0.004587304,0.3998701],"genre_scores_gemma":[0.03665343,0.007914693,0.007530525,0.001601874,0.001484712,0.0002013614,0.4792947,0.006385536,0.4589333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.760973,"threshold_uncertainty_score":0.7350271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003220028045199374,"score_gpt":0.1921606236149247,"score_spread":0.1889405955697253,"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."}}