{"id":"W4250535362","doi":"10.1515/iupac.78.0437","title":"Nebulization","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Pesticide; Relation (database); Computer science; Environmental chemistry; Management science; Chemistry; Engineering; Ecology; 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":[0.000301748,0.0002471843,0.0003962996,0.00002243618,0.0001459875,0.00006037116,0.0003551813,0.0002720814,0.0110272],"category_scores_gemma":[0.0002792199,0.00007102195,0.0001920475,0.0002602526,0.00005245259,0.00006201718,0.00009800356,0.000164195,0.000005723549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007342403,"about_ca_system_score_gemma":0.00006042653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003696922,"about_ca_topic_score_gemma":0.007729611,"domain_scores_codex":[0.9982514,0.00008145754,0.0003298291,0.0003711274,0.0006779716,0.0002881673],"domain_scores_gemma":[0.999114,0.0001340624,0.0002004037,0.0001359033,0.0002891212,0.0001265493],"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":[0.00002331117,0.00006358264,0.000041427,0.000008523552,0.00003365144,0.00001322603,5.872361e-7,7.860504e-7,0.0002233793,0.000005802171,0.9749815,0.02460423],"study_design_scores_gemma":[0.00009582553,0.000118002,0.001816277,0.00009148882,0.00008101814,0.000003482489,0.000005682855,0.000004001181,0.00001366658,0.0001757998,0.9973564,0.0002383192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007649246,0.0004191116,0.00001448243,0.001404015,0.0001439143,0.00009837533,0.9970655,0.00004043323,0.00004918153],"genre_scores_gemma":[0.0002063136,0.001823158,0.000003931071,0.0003138882,0.001216508,0.000004508771,0.9961562,0.000001031423,0.0002744463],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02436591,"threshold_uncertainty_score":0.9898769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461832394436435,"score_gpt":0.3533321950885233,"score_spread":0.3387138711441589,"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."}}