{"id":"W4235061505","doi":"10.1515/iupac.78.0527","title":"Registrant","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Computer science; Pesticide; Chemical nomenclature; Management science; Data science; Engineering; Ecology; Chemistry; Biology; Data mining; Linguistics","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":[0.001691872,0.001206464,0.001346621,0.004544254,0.0007246991,0.002471639,0.001985164,0.001300687,0.2113055],"category_scores_gemma":[0.01289278,0.0006104826,0.001142679,0.00750032,0.0003048696,0.001986242,0.001838087,0.00144524,0.196347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001909751,"about_ca_system_score_gemma":0.004046472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02452345,"about_ca_topic_score_gemma":0.03437683,"domain_scores_codex":[0.9976146,0.0003521889,0.0005369894,0.0007959963,0.0004576828,0.0002425569],"domain_scores_gemma":[0.9944999,0.001282229,0.0009502954,0.001115454,0.001781763,0.0003702842],"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":[0.00008493379,0.000009515994,0.001363582,0.0006970305,0.00001712936,0.000026627,0.00002408914,0.00006995865,0.00005167683,0.0006189153,0.9917352,0.005301303],"study_design_scores_gemma":[0.00008903129,0.00000994458,0.003326733,0.0005707104,0.00001829718,0.00006457545,0.0000830345,0.00007234329,0.0001345287,0.0006116222,0.9950041,0.00001502655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001338251,0.0001626328,0.00008632703,0.0001308864,0.00005159589,0.00004124145,0.9964585,0.0001393222,0.002795618],"genre_scores_gemma":[0.0008867363,0.0003016769,0.000431145,0.0003322866,0.00004228965,0.0003203127,0.9922487,0.0001131013,0.005323811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7886945,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741916485459985,"score_gpt":0.3570521618862131,"score_spread":0.3396329970316132,"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."}}