{"id":"W4241856208","doi":"10.1515/iupac.79.1199","title":"Emission and Exposure Control","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Computer science; Toxicology; Multidisciplinary approach; Chemistry; Biology; Philosophy; Political science; Linguistics; Law","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":[0.001809648,0.002069984,0.001705982,0.00347105,0.0005728558,0.002325824,0.002755897,0.001858592,0.07306878],"category_scores_gemma":[0.01078003,0.0005732381,0.002782626,0.006395677,0.0003156722,0.00148974,0.001530566,0.001716585,0.07255871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722689,"about_ca_system_score_gemma":0.002829392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02809718,"about_ca_topic_score_gemma":0.03634531,"domain_scores_codex":[0.997888,0.0003715606,0.0003734997,0.000752453,0.0004509591,0.0001634199],"domain_scores_gemma":[0.9965066,0.001034962,0.0004898112,0.0008528299,0.0009582993,0.0001574366],"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":[0.0001963216,0.00004424667,0.003977371,0.003096074,0.0001877689,0.00003924923,0.00002694143,0.001416559,0.000165518,0.00125447,0.9739252,0.0156702],"study_design_scores_gemma":[0.0001973211,0.00002556424,0.006808593,0.0008464703,0.0001171018,0.00007715867,0.00004080753,0.0006344427,0.0002845448,0.001874638,0.989053,0.00004037382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001046248,0.000180378,0.0001691857,0.0000482602,0.00002553429,0.00001803705,0.9984093,0.0001797606,0.0008649749],"genre_scores_gemma":[0.0005442817,0.0002027171,0.0005831324,0.00008353392,0.00001199117,0.000121335,0.9974618,0.00004946253,0.0009416594],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07306878,"threshold_uncertainty_score":0.2444394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006380337801622162,"score_gpt":0.3182433239113752,"score_spread":0.311862986109753,"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."}}