{"id":"W4400875768","doi":"10.3390/en17143566","title":"Ambient Temperature Effects on Energy Consumption and CO2 Emissions of a Plug-in Hybrid Electric Vehicle","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Automotive engineering; Powertrain; Environmental science; Internal combustion engine; Energy consumption; Electric vehicle; Combustion; Battery electric vehicle; Electric energy consumption; Spark plug; Fuel efficiency; Engineering; Electrical engineering; Chemistry; Electric energy; Mechanical engineering; Power (physics)","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":[0.0001254696,0.0003953563,0.000271043,0.0001981166,0.0002138761,0.0003200687,0.0002008289,0.0001890428,0.0006909697],"category_scores_gemma":[0.0002371916,0.0001629073,0.000322873,0.0001845625,0.0001406668,0.0002513152,0.00018114,0.0001774665,0.0001836712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001960248,"about_ca_system_score_gemma":0.0001134302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003360936,"about_ca_topic_score_gemma":0.004777108,"domain_scores_codex":[0.9998382,0.00001956963,0.00000905574,0.00004083944,0.00005114686,0.00004110102],"domain_scores_gemma":[0.9998357,0.00004749673,0.000017838,0.00001338687,0.00007211704,0.000013359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003222613,0.0005100328,0.0765236,0.0002367863,0.0001937133,0.0006421164,0.0002534875,0.01488275,0.8762843,0.00008433598,0.0002381279,0.02692822],"study_design_scores_gemma":[0.00002691248,0.002372336,0.4114678,0.00001230111,0.0001864482,0.0002733764,0.0005152038,0.0174049,0.5664796,0.00008307283,0.001128143,0.00005004907],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991596,0.00004455275,0.0003892417,0.000003403249,0.000004585087,0.000003453488,0.00005536289,0.00001151004,0.0003284213],"genre_scores_gemma":[0.9994767,0.00003297389,0.0001214409,0.000002652362,0.000001162235,0.00000381165,0.00009282242,0.000004603651,0.000263749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003360936,"threshold_uncertainty_score":0.006682754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004370179989738762,"score_gpt":0.2051487002097006,"score_spread":0.2007785202199619,"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."}}