{"id":"W7155565675","doi":"10.59276/tckhdt.2021.09.2278","title":"The relationship between fuel consumption and carbon emissions in Canada using multiple regression analysis and recommendations for Vietnam","year":2021,"lang":"","type":"article","venue":"Tạp chí Khoa học và Đào tạo Ngân hàng","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Consumption (sociology); Regression analysis; Carbon dioxide; Climate change; Fuel efficiency; Air pollution; Government (linguistics)","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":[0.001360517,0.0004343211,0.0003945506,0.001562696,0.001005543,0.001135058,0.0006466864,0.0002484579,0.003519839],"category_scores_gemma":[0.004988734,0.0002731705,0.001097723,0.003789,0.0002298817,0.0004150658,0.0003222911,0.0008348135,0.0003511456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01250824,"about_ca_system_score_gemma":0.03215664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919917,"about_ca_topic_score_gemma":0.9908258,"domain_scores_codex":[0.9993211,0.0001236223,0.00005530639,0.0001208233,0.0002293876,0.0001497067],"domain_scores_gemma":[0.9958391,0.0009465902,0.0003520022,0.00009566182,0.002352022,0.000414583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001158833,0.0001724544,0.9213198,0.0002464848,0.0003808599,0.0004394859,0.001101577,0.005018278,0.0004546201,0.001156735,0.02041084,0.04918297],"study_design_scores_gemma":[0.00002390307,0.00005957481,0.9553154,0.0001972274,0.0003358395,0.00008492958,0.00521386,0.02219652,0.00069251,0.0002179406,0.01558973,0.0000725541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489043,0.00341949,0.003215264,0.005855241,0.00013561,0.0001653541,0.0246276,0.0002168317,0.01346026],"genre_scores_gemma":[0.968847,0.003023904,0.005958678,0.000305039,0.00002953207,0.000113139,0.009746458,0.00009507992,0.01188117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01250824,"threshold_uncertainty_score":0.09075409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06188438960644906,"score_gpt":0.2978642167097811,"score_spread":0.2359798271033321,"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."}}