{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001802887,0.001841988,0.00157989,0.006484674,0.001196564,0.003534185,0.00346774,0.002222443,0.115078],"category_scores_gemma":[0.01287284,0.0007034591,0.00187113,0.009171191,0.00055316,0.002788024,0.002823155,0.002424026,0.1172575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002400313,"about_ca_system_score_gemma":0.004366737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02345493,"about_ca_topic_score_gemma":0.04835628,"domain_scores_codex":[0.997681,0.0004033235,0.0004643447,0.0006731235,0.000552564,0.0002256196],"domain_scores_gemma":[0.995808,0.001351216,0.0005083182,0.0009579838,0.001112617,0.0002618645],"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":[0.0000810284,0.00001843519,0.0007931712,0.001545595,0.00003237054,0.00002783442,0.00003855706,0.0002107101,0.0001234499,0.001256774,0.9914771,0.004395027],"study_design_scores_gemma":[0.0001116235,0.000009863409,0.001459248,0.0005499028,0.00001986638,0.00003946368,0.00005208322,0.000157701,0.0001477015,0.001193438,0.9962405,0.00001859308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008041948,0.0001459969,0.00009303502,0.00009090032,0.00002776539,0.0000271249,0.998185,0.0002670639,0.001082733],"genre_scores_gemma":[0.0002679857,0.0001466806,0.0004368295,0.0001176424,0.000009427548,0.0002018852,0.9978453,0.00009119373,0.0008830921],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.115078,"threshold_uncertainty_score":0.3849741,"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."}}