{"id":"W7116734694","doi":"10.6084/m9.figshare.30928261.v1","title":"Additional file 1 of A high throughput ambient mass spectrometric approach for identifying the poaching of wild american ginseng","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Ginseng Biological Effects and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of British Columbia","funders":"","keywords":"Throughput; Ginseng; Poaching; Identification (biology); Quality (philosophy)","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":["insufficient_payload"],"category_scores_codex":[0.001383407,0.001031666,0.001175977,0.002330876,0.001185155,0.00156716,0.002015165,0.001284897,0.827456],"category_scores_gemma":[0.01081157,0.0007658398,0.000875185,0.003527824,0.000351685,0.001625742,0.001012352,0.001133983,0.2108379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008879123,"about_ca_system_score_gemma":0.001562567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0046379,"about_ca_topic_score_gemma":0.009561462,"domain_scores_codex":[0.9994212,0.00007095382,0.00006915793,0.0001632389,0.0001838046,0.00009160906],"domain_scores_gemma":[0.9903477,0.007218743,0.0004213272,0.0006035849,0.001139151,0.0002694322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005087196,0.0002202707,0.002385852,0.003218621,0.00006539771,0.0001376446,0.0001034935,0.0005455777,0.001895808,0.0009871027,0.9779536,0.01197791],"study_design_scores_gemma":[0.003333295,0.000430959,0.03381169,0.001614611,0.0002338877,0.0006209657,0.0004231056,0.002084624,0.005970994,0.009739038,0.9414955,0.0002413236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002828174,0.00002337021,0.0006188315,0.00006809643,0.0000254,0.00007004029,0.9971438,0.0007737622,0.0009938568],"genre_scores_gemma":[0.007950939,0.0001598891,0.007068267,0.0004890825,0.00007077474,0.001406987,0.9708595,0.002216894,0.00977764],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.172544,"threshold_uncertainty_score":0.246113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260222484833835,"score_gpt":0.2774090594874493,"score_spread":0.2513868110040658,"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."}}