{"id":"W4244433270","doi":"10.1515/iupac.78.0459","title":"Pelleted Formulation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Pesticide; Management science; Data science; Chemistry; Engineering; Ecology; Biology; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.001451224,0.001838577,0.001381786,0.004427957,0.0008743572,0.003358152,0.003052266,0.002153739,0.208999],"category_scores_gemma":[0.01170019,0.0006142737,0.001847964,0.007227483,0.0004630136,0.002619562,0.00212739,0.002064396,0.2328549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00204744,"about_ca_system_score_gemma":0.00344428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01994944,"about_ca_topic_score_gemma":0.04349254,"domain_scores_codex":[0.9982102,0.0003132504,0.0003088365,0.0005563444,0.000408024,0.0002033938],"domain_scores_gemma":[0.9960834,0.001092671,0.0003979362,0.001025322,0.001155216,0.0002453976],"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":[0.00005483318,0.00001266707,0.0004373056,0.0006182092,0.00002108024,0.00001386958,0.0000121956,0.0001635155,0.00005239084,0.0006864188,0.9944047,0.003522889],"study_design_scores_gemma":[0.0001194342,0.00001184474,0.001198717,0.0004032835,0.0000192707,0.00004006505,0.00005199365,0.0002120782,0.0001379861,0.001760185,0.9960297,0.00001537328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005949005,0.00008569247,0.000102989,0.00009881672,0.00003426102,0.00002103394,0.9979989,0.0002553856,0.001343475],"genre_scores_gemma":[0.0003217654,0.0001085385,0.0004220765,0.0001237849,0.00001321539,0.000132667,0.9971206,0.00009584962,0.001661529],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.208999,"threshold_uncertainty_score":0.6991713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207423080862963,"score_gpt":0.3488302771300062,"score_spread":0.3367560463213766,"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."}}