{"id":"W4389138937","doi":"10.2139/ssrn.4648100","title":"The Impact of Heavy Truck Electrification on Greenhouse Gas Emissions in Ontario, Canada","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Truck; Greenhouse gas; Electrification; Environmental science; Environmental protection; Natural resource economics; Waste management; Engineering; Electricity; Economics; Automotive engineering; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003514465,0.0003094247,0.0003369388,0.0008857779,0.002903664,0.001952045,0.000676632,0.0005637406,0.005003058],"category_scores_gemma":[0.001442805,0.0002525893,0.0005548465,0.002483171,0.000820428,0.0005836689,0.0008182809,0.0006607097,0.0002737504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07654849,"about_ca_system_score_gemma":0.08219919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9994113,"about_ca_topic_score_gemma":0.9997835,"domain_scores_codex":[0.9992939,0.00004699237,0.00002318689,0.00005074525,0.0002590036,0.0003261665],"domain_scores_gemma":[0.9982748,0.0001539355,0.0001272101,0.00002593977,0.00116092,0.0002571754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001114336,0.0002181522,0.852088,0.000643741,0.0003863828,0.002315583,0.006400394,0.02445107,0.003837037,0.01558509,0.04816543,0.04479481],"study_design_scores_gemma":[0.00004151761,0.00004484461,0.9551454,0.0001081687,0.00009676003,0.00007796798,0.01014049,0.004301822,0.0006357798,0.0006573171,0.02869739,0.00005262176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346149,0.001496122,0.0002927432,0.004614593,0.00006102675,0.00006211678,0.01018441,0.00003870666,0.04863548],"genre_scores_gemma":[0.9736875,0.001357843,0.0001981088,0.0002056462,0.000009560859,0.00001291896,0.001426622,0.00001690781,0.02308484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07654849,"threshold_uncertainty_score":0.5554008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00834339276384404,"score_gpt":0.2228614027080532,"score_spread":0.2145180099442092,"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."}}