{"id":"W4237634058","doi":"10.1515/iupac.78.0418","title":"Minor Use Crop","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Pesticide; Relation (database); Computer science; Chemical nomenclature; Data science; Management science; Ecology; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002261747,0.0005358757,0.0005844581,0.00002616084,0.0003304548,0.0001951157,0.0006614012,0.0002925937,0.006070998],"category_scores_gemma":[0.000389186,0.0001384861,0.0002456041,0.0002997405,0.0001583531,0.0002401565,0.0005720747,0.0002785509,0.00002235592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001995014,"about_ca_system_score_gemma":0.00002207721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008128845,"about_ca_topic_score_gemma":0.009786497,"domain_scores_codex":[0.9972777,0.00008625721,0.0004214298,0.0006733754,0.0009757587,0.0005654428],"domain_scores_gemma":[0.9987104,0.0002490803,0.0002945006,0.0001937834,0.0003988736,0.0001533961],"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":[0.00004521246,0.000125799,0.00008371624,0.00002746267,0.000096018,0.0000389675,0.000002457665,1.67705e-7,0.0001496195,0.000004495437,0.9913555,0.008070557],"study_design_scores_gemma":[0.000175941,0.0002335435,0.007162811,0.0001537507,0.0001045231,0.00000436889,0.00002955244,1.874363e-7,0.000007575565,0.00003795872,0.9915735,0.0005163064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007801333,0.0003224914,6.717495e-7,0.003639188,0.0005096684,0.0004013154,0.9871485,0.0001276848,0.00004918457],"genre_scores_gemma":[0.0001067959,0.001484803,0.00001060043,0.0005975291,0.001754,0.00002204877,0.9911721,0.000001956532,0.004850202],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008973612,"threshold_uncertainty_score":0.9948376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668538070642152,"score_gpt":0.3442314608353085,"score_spread":0.317546080128887,"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."}}