{"id":"W4301003679","doi":"","title":"Smith Newton Vehicle Performance Evaluation - 3rd Quarter 2013; Vehicle Technologies Office (VTO), Energy Efficiency & Renewable Energy (EERE)","year":2017,"lang":"en","type":"other","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Renewable energy; Energy (signal processing); Engineering; Computer science; Automotive engineering; Mathematics; Statistics; Geography; Electrical 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":[0.003536374,0.001083782,0.000474623,0.002269749,0.001212308,0.00331432,0.001372996,0.0008580065,0.0654771],"category_scores_gemma":[0.004619786,0.0005033584,0.0003530643,0.002019622,0.0005652981,0.00163236,0.0008336341,0.0009915432,0.03277182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007518405,"about_ca_system_score_gemma":0.008632576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08908064,"about_ca_topic_score_gemma":0.1535299,"domain_scores_codex":[0.9946396,0.000340017,0.0001084141,0.0002568436,0.004409125,0.000246104],"domain_scores_gemma":[0.9920866,0.0002649149,0.0003532362,0.0002885224,0.006604729,0.000402084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000434214,0.0007898963,0.007762838,0.0002227558,0.00002417529,0.00008337718,0.0001845587,0.002947103,0.002697181,0.003849629,0.8390973,0.141907],"study_design_scores_gemma":[0.00008206881,0.0004651426,0.04187213,0.0002279626,0.00002728802,0.00006594955,0.000481878,0.007919398,0.02204412,0.001655356,0.925086,0.00007261954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0373963,0.00107125,0.01266854,0.003140875,0.0007437266,0.001464934,0.07963145,0.003581268,0.8603016],"genre_scores_gemma":[0.08342952,0.001176267,0.006270505,0.0002232062,0.00008579424,0.0003662906,0.05044108,0.001254485,0.8567529],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08908064,"threshold_uncertainty_score":0.2190427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338218674202635,"score_gpt":0.2290368753995555,"score_spread":0.2156546886575291,"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."}}