{"id":"W4239354483","doi":"10.1515/iupac.78.0270","title":"Encapsulated 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; Management science; Data science; Chemistry; Engineering; 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":[0.002108163,0.002013939,0.001310267,0.00440647,0.001055212,0.003763037,0.003559575,0.00245751,0.1965564],"category_scores_gemma":[0.01757282,0.0006379797,0.00224699,0.007884502,0.0005532169,0.003369276,0.002373521,0.002257137,0.1932962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002571078,"about_ca_system_score_gemma":0.003975282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233812,"about_ca_topic_score_gemma":0.04023983,"domain_scores_codex":[0.9973543,0.0005324604,0.000480953,0.0008335137,0.0005246195,0.0002741927],"domain_scores_gemma":[0.9943805,0.002019397,0.0004687416,0.00144232,0.001416047,0.000272935],"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":[0.00006306457,0.0000161498,0.0005736063,0.0007741249,0.00002622605,0.00001799247,0.00001936347,0.0003531408,0.00006358508,0.001266074,0.9915228,0.005303851],"study_design_scores_gemma":[0.0001134472,0.00001340473,0.001058976,0.000480624,0.00002223494,0.00005099804,0.00007452225,0.0004392002,0.0001403002,0.003005168,0.9945816,0.00001933826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007784091,0.0001230113,0.0002274234,0.0001562689,0.00004414391,0.00003489058,0.9973711,0.0003409488,0.001624336],"genre_scores_gemma":[0.0004172102,0.000148418,0.0008230593,0.0001773953,0.00001430049,0.0002202597,0.9966331,0.0001006154,0.001465564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1965564,"threshold_uncertainty_score":0.6575468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132884192418243,"score_gpt":0.3483780661530955,"score_spread":0.3370492242289131,"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."}}