{"id":"W7101252209","doi":"","title":"A SHIFT TO TRUCKS LEAVES CANADIAN FUEL ECONOMY FLAT OVER THE PAST DECADE Highlights","year":2012,"lang":"en","type":"article","venue":"","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Fuel efficiency; Gasoline; Motor fuel","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":[0.0009056734,0.0005068188,0.000290416,0.001329945,0.01112324,0.005079991,0.001033902,0.002208613,0.03790974],"category_scores_gemma":[0.001925426,0.0002336183,0.0007107513,0.003183195,0.00196202,0.001834564,0.001413578,0.003288383,0.003398996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0712935,"about_ca_system_score_gemma":0.1199696,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933036,"about_ca_topic_score_gemma":0.9975536,"domain_scores_codex":[0.9974471,0.0000818839,0.00004135132,0.0001986901,0.001494734,0.0007361537],"domain_scores_gemma":[0.9965242,0.0001122067,0.00006775486,0.00005648048,0.002392133,0.0008472347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001036493,0.00003418446,0.01088447,0.0003142798,0.00002368674,0.0004102885,0.001616717,0.0003648966,0.001442763,0.04517093,0.8513072,0.08832705],"study_design_scores_gemma":[0.000006912315,0.00001200902,0.01734578,0.00009446829,0.00001018578,0.0001193216,0.00222632,0.0001506653,0.0003187037,0.00105999,0.9786142,0.00004154],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05245025,0.01905882,0.001943378,0.5671761,0.005795789,0.0000587967,0.008117075,0.0005094541,0.3448904],"genre_scores_gemma":[0.3848788,0.03503642,0.003892755,0.1059837,0.001424326,0.00003461413,0.006018727,0.0004558318,0.4622749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0712935,"threshold_uncertainty_score":0.5172729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009618270443380254,"score_gpt":0.2137882122666603,"score_spread":0.20416994182328,"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."}}