{"id":"W4248284918","doi":"10.1515/iupac.81.0338","title":"Environmental Transport","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Ecology; Computer science; Risk assessment; Biology; Data mining; Philosophy; 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":[0.0006421081,0.001674196,0.0009998964,0.003505423,0.0007558881,0.002561958,0.002156379,0.001571236,0.07270762],"category_scores_gemma":[0.0041465,0.0005382893,0.001503476,0.007504977,0.0002990567,0.002257276,0.001773802,0.001925878,0.1029807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001945965,"about_ca_system_score_gemma":0.002387797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04237095,"about_ca_topic_score_gemma":0.0593845,"domain_scores_codex":[0.9990982,0.0001346299,0.0001117338,0.0002684171,0.0002577242,0.0001293129],"domain_scores_gemma":[0.9983779,0.0002794855,0.0001914235,0.0004264478,0.0006028532,0.0001218904],"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":[0.00004409832,0.00001802815,0.002223025,0.0007649562,0.00003600336,0.00003521583,0.00002909111,0.0009933393,0.00010038,0.002061299,0.9870161,0.006678573],"study_design_scores_gemma":[0.00003576536,0.000005240391,0.002459504,0.0002834214,0.0000136847,0.00004204856,0.00007488527,0.0004233813,0.0001564167,0.001279004,0.9952121,0.00001458129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001347145,0.00009093133,0.0001106296,0.0000689268,0.00002955145,0.000006089638,0.9972903,0.0002176056,0.00205127],"genre_scores_gemma":[0.000531269,0.0001136399,0.0002732473,0.00003660687,0.000005261422,0.00002118768,0.9977217,0.00004848725,0.001248644],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07270762,"threshold_uncertainty_score":0.2432312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006623319328582821,"score_gpt":0.3038855806250389,"score_spread":0.2972622612964561,"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."}}