{"id":"W1527677549","doi":"10.4271/2010-01-2213","title":"Simplified Methodology for Modeling Cold Temperature Effects on Engine Efficiency for Hybrid and Plug-in Hybrid Vehicles","year":2010,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Argonne National Laboratory; Vehicle Technologies Office; Office of Science; University of Chicago","keywords":"Automotive engineering; Spark plug; Computer science; Hybrid vehicle; Plug-in; Mechanical engineering; Engineering; Physics; Power (physics); Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003723373,0.0006955466,0.0004254997,0.0005171908,0.0002308236,0.0005693389,0.0009999855,0.0004810539,0.003643701],"category_scores_gemma":[0.0006182527,0.000373489,0.000838525,0.0004546029,0.0001680296,0.0004395424,0.0003173765,0.0005011748,0.00098883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006367062,"about_ca_system_score_gemma":0.0006866673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007425199,"about_ca_topic_score_gemma":0.006414264,"domain_scores_codex":[0.9998109,0.00003871634,0.00001026875,0.00004040039,0.00008731488,0.0000124499],"domain_scores_gemma":[0.999851,0.00005104995,0.00001604961,0.00002873077,0.00004948393,0.000003625032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001611905,0.00003163514,0.0004821242,0.0001153905,0.00003655545,0.0000616014,0.0000329175,0.9483681,0.0196659,0.004914659,0.0008491757,0.02542584],"study_design_scores_gemma":[0.000003312133,0.00002533693,0.0004076037,0.000005200782,0.000006274502,0.00001733908,0.000005788495,0.9927981,0.003269864,0.001078538,0.002376082,0.000006560088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008025284,0.0001455739,0.987538,0.00002818447,0.000020765,0.0000805911,0.0004836823,0.0008391365,0.0028387],"genre_scores_gemma":[0.5707821,0.00105351,0.4074981,0.0001101435,0.00005275065,0.001325317,0.002309838,0.0005096833,0.01635873],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007425199,"threshold_uncertainty_score":0.01476395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789877161207669,"score_gpt":0.273402801057618,"score_spread":0.2555040294455413,"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."}}