{"id":"W3157544935","doi":"10.1021/acs.est.0c07639","title":"Health and Climate Incentives for the Deployment of Cleaner On-Road Vehicle Technologies","year":2021,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrification; Truck; Software deployment; Greenhouse gas; Population; Transport engineering; Public transport; Incentive; Air quality index; Business; Engineering; Environmental health; Electricity; Automotive engineering; Medicine; Economics; Geography; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000152543,0.00007966332,0.0001062184,0.0001009163,0.0002754002,0.0000101299,0.0002310231,0.00005386497,0.000007696804],"category_scores_gemma":[0.00001731608,0.00005716259,0.00001745657,0.0003302676,0.0009473764,0.00007210823,0.0002015655,0.0001161371,0.00000439818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007784818,"about_ca_system_score_gemma":0.00001731567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001590304,"about_ca_topic_score_gemma":0.000002229737,"domain_scores_codex":[0.9992804,0.000003729646,0.0001278051,0.0001872583,0.00011456,0.0002862719],"domain_scores_gemma":[0.9996603,0.00002543631,0.00003117665,0.0002489644,0.000003354758,0.00003077551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001115336,0.00006043784,0.01627827,0.00003094888,0.000009482638,0.000001479143,0.0001846052,0.001344005,0.2222194,0.001937942,0.00006306613,0.7578592],"study_design_scores_gemma":[0.0005181,0.0005460713,0.04658002,0.00007784737,0.000007145643,0.0000321524,0.006874315,0.02992437,0.8798312,0.00042777,0.03494435,0.0002366452],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941682,0.003135125,0.0001467493,0.002035616,0.00007203291,0.0001530856,0.00001434714,0.0001692847,0.0001055132],"genre_scores_gemma":[0.994871,0.004357466,0.0006615548,0.00005300891,0.000004334119,0.00002870233,0.000001047719,0.000007585089,0.00001528592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7576226,"threshold_uncertainty_score":0.3490648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008048278994430662,"score_gpt":0.2308708585357958,"score_spread":0.2228225795413651,"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."}}