{"id":"W3174789178","doi":"10.11575/prism/35981","title":"A Reduction In Canada’s Freight Transportation Greenhouse Gas Emissions By 2030 And 2050 A Scenario Analysis","year":2017,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Reduction (mathematics); Environmental science; Natural resource economics; Economics","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":[0.0007309762,0.0008885064,0.0003748706,0.001141174,0.001132556,0.001727404,0.001032797,0.0008052771,0.003106274],"category_scores_gemma":[0.0006964043,0.0002437408,0.001198167,0.001831435,0.00044377,0.0005079936,0.0004076943,0.0007144694,0.0003081235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03915182,"about_ca_system_score_gemma":0.02921174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9699317,"about_ca_topic_score_gemma":0.968464,"domain_scores_codex":[0.9994314,0.00009981939,0.00001165919,0.00004257255,0.0001749974,0.0002394045],"domain_scores_gemma":[0.9997182,0.00002773656,0.00001154424,0.00000907284,0.0001942295,0.0000391418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008480441,0.0001900689,0.03453865,0.0003449294,0.0004573208,0.0006147354,0.0002168872,0.8568215,0.002917328,0.0402603,0.03591946,0.02687073],"study_design_scores_gemma":[0.0004621242,0.0006334714,0.1614524,0.0002404866,0.0008311318,0.0002046487,0.003485599,0.7213332,0.005670789,0.01789654,0.08746163,0.0003280763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8197101,0.001758799,0.005515599,0.006313244,0.0001385363,0.000492589,0.05284489,0.0003674116,0.1128587],"genre_scores_gemma":[0.978098,0.0007328095,0.003640544,0.0002869169,0.00000751279,0.0001074907,0.00860452,0.00002159138,0.008500662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03915182,"threshold_uncertainty_score":0.2840676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006330392630519806,"score_gpt":0.1714052628034403,"score_spread":0.1650748701729205,"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."}}