{"id":"W6939896376","doi":"10.6084/m9.figshare.12959853","title":"Multipollutant impacts to U.S. receptors of regional on-road freight in Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Damages; Metropolitan area; Greenhouse gas; Criteria air contaminants; Air pollutants; Air pollution; Climate change","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004373384,0.0006276073,0.0003834082,0.0007213833,0.002966468,0.001683841,0.00160968,0.0007921099,0.005098483],"category_scores_gemma":[0.00154285,0.0004673474,0.001013717,0.00179007,0.000884402,0.0006209512,0.001301373,0.0006852432,0.0005901328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07726055,"about_ca_system_score_gemma":0.06292813,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9989917,"about_ca_topic_score_gemma":0.9994685,"domain_scores_codex":[0.9991962,0.00006450913,0.00002197638,0.0001123602,0.0002896911,0.000315364],"domain_scores_gemma":[0.998556,0.00008105174,0.0001312507,0.00004780306,0.0009275252,0.0002563776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005217617,0.0002901638,0.8140117,0.0002953838,0.00045756,0.00143512,0.003922479,0.08206522,0.003057634,0.004326513,0.05150258,0.03811387],"study_design_scores_gemma":[0.00007382045,0.0001787402,0.8662184,0.0001618179,0.0002374535,0.0002111085,0.01399125,0.08063808,0.001009586,0.0006881026,0.03642707,0.0001646018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639027,0.0006442707,0.0008790425,0.001778041,0.00004904313,0.0001340067,0.0124622,0.0001318411,0.02001879],"genre_scores_gemma":[0.9810402,0.0006593742,0.0006752802,0.0002525431,0.000006045923,0.00003775212,0.003901591,0.00004494116,0.01338218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07726055,"threshold_uncertainty_score":0.5605671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03599633028680791,"score_gpt":0.2075525734852678,"score_spread":0.1715562431984599,"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."}}