{"id":"W4390767996","doi":"10.1016/j.apenergy.2023.122335","title":"Development of a framework to assess the greenhouse gas mitigation potential from the adoption of low-carbon road vehicles in a hydrocarbon-rich region","year":2024,"lang":"en","type":"article","venue":"Applied Energy","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Greenhouse gas; Carbon footprint; Zero emission; Hydrogen vehicle; Environmental science; Electric vehicle; Green vehicle; Environmental economics; Environmental engineering; Engineering; Automotive engineering; Waste management; Hydrogen fuel; Fuel efficiency; Power (physics); Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009910953,0.0001325049,0.0001481155,0.0000750158,0.00002940102,0.00002325796,0.0001865358,0.0001307773,0.000003149078],"category_scores_gemma":[0.000005537755,0.00009053204,0.00003492969,0.000538771,0.00002131572,0.00003092982,0.00003700394,0.000197602,0.000001202271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006751374,"about_ca_system_score_gemma":0.0000368151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001985699,"about_ca_topic_score_gemma":0.0001792839,"domain_scores_codex":[0.9991328,0.00002049586,0.000307719,0.0001613461,0.0002127451,0.000164857],"domain_scores_gemma":[0.9996293,0.00007680904,0.00004063313,0.0002097978,0.00001705507,0.00002637807],"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":[0.00006611636,0.00004329135,0.0002592237,0.0001128678,0.0001733648,0.000008007158,0.004871899,0.2163221,0.3571866,0.01896979,0.000277616,0.4017092],"study_design_scores_gemma":[0.000595917,0.00008681376,0.04599638,0.0009509173,0.0001038686,0.000008061539,0.001049496,0.4118713,0.5120684,0.02322582,0.003369357,0.0006736773],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712275,0.0004432108,0.02757038,0.0001109675,0.0001213003,0.0001074099,0.000001677335,0.00007044472,0.0003471165],"genre_scores_gemma":[0.9972394,0.00008796795,0.002379809,0.00005597977,0.0001360833,0.00005173339,0.00001468887,0.00003008637,0.00000424457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4010355,"threshold_uncertainty_score":0.369179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007046844937527032,"score_gpt":0.1941617308195206,"score_spread":0.1871148858819936,"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."}}