{"id":"W6958474186","doi":"10.6084/m9.figshare.19200240.v1","title":"Additional file 1 of DNA barcoding detects contamination and substitution in North American herbal products","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Heavy Metals in Plants","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"DNA barcoding; Barcode; Table (database); Contamination; Accession number (library science); Consumer safety","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001151067,0.0009227993,0.0008295699,0.002600567,0.0009900815,0.001204413,0.001575393,0.001032032,0.8610315],"category_scores_gemma":[0.01270037,0.0005170844,0.0006694787,0.004851884,0.0002875268,0.001602122,0.001066691,0.0007962813,0.2502261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009052214,"about_ca_system_score_gemma":0.001567082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007992701,"about_ca_topic_score_gemma":0.01262138,"domain_scores_codex":[0.99938,0.00009535057,0.00008859336,0.0001778609,0.0001630442,0.00009503302],"domain_scores_gemma":[0.9897271,0.006783141,0.0006594723,0.0006237307,0.001951237,0.0002554576],"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":[0.0001886689,0.00007190421,0.001545705,0.001784446,0.00001899348,0.0000504577,0.00007409215,0.0002085593,0.0003606849,0.0004758703,0.9833682,0.01185239],"study_design_scores_gemma":[0.001104224,0.0001577286,0.02576026,0.001625331,0.00008219118,0.0002370862,0.0004514831,0.0006336783,0.00167025,0.004362879,0.9638201,0.00009486375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002026719,0.00001477143,0.0003201362,0.00008083967,0.00002614308,0.00006016323,0.9976011,0.0003320843,0.001362169],"genre_scores_gemma":[0.004740481,0.0001150381,0.004419765,0.0004874546,0.00008114455,0.001063988,0.9767482,0.0009329328,0.01141087],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8610315,"threshold_uncertainty_score":0.1982217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534913757682628,"score_gpt":0.2303409976604044,"score_spread":0.2049918600835781,"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."}}