{"id":"W3125108130","doi":"","title":"Impact of Canadaâ€™s Voluntary Agreement on Greenhouse Gas Emissions from Light Duty Vehicles","year":2006,"lang":"en","type":"preprint","venue":"eScholarship (California Digital Library)","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Commit; Fuel efficiency; Government (linguistics); Turnover; Business; Automotive industry; Engineering; Environmental economics; Natural resource economics; Economics; Automotive engineering","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":[0.01652619,0.0003513912,0.0003478632,0.00139427,0.004115021,0.003783347,0.001699805,0.001835111,0.002408152],"category_scores_gemma":[0.04097976,0.00037538,0.001185348,0.001296703,0.00234499,0.0009685128,0.002217263,0.002037738,0.000238486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0259437,"about_ca_system_score_gemma":0.07124402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8205376,"about_ca_topic_score_gemma":0.8194178,"domain_scores_codex":[0.9620212,0.006839978,0.0009252375,0.001448366,0.02044652,0.008318685],"domain_scores_gemma":[0.9528925,0.01728213,0.005068066,0.002343319,0.01984899,0.002564945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004554653,0.002844311,0.3370013,0.0008269044,0.0009008843,0.001831171,0.006961949,0.1022746,0.01594436,0.2076865,0.0750755,0.2440978],"study_design_scores_gemma":[0.0005492148,0.002189583,0.7380103,0.0005670596,0.0005449252,0.0002601589,0.008792543,0.02523936,0.02534713,0.01901055,0.1791182,0.0003708987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7980756,0.001114423,0.003355551,0.01140221,0.0004410276,0.0004947394,0.00197817,0.0002973403,0.182841],"genre_scores_gemma":[0.9828624,0.0002767302,0.0007201806,0.001489773,0.00004398093,0.00009740666,0.0005899443,0.00001588865,0.0139037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1794624,"threshold_uncertainty_score":0.3610385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164774930829198,"score_gpt":0.2168121545923055,"score_spread":0.2051644052840135,"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."}}