{"id":"W2077186087","doi":"10.4271/2013-01-1507","title":"Comprehensive Modeling of Vehicle Air Conditioning Loads Using Heat Balance Method","year":2013,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Air conditioning; Balance (ability); Environmental science; Automotive engineering; Conditioning; Atmospheric model; Computer science; Meteorology; Engineering; Mechanical engineering; Mathematics; Physics; Statistics","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":[0.0001715755,0.0006255688,0.000555856,0.0004065995,0.0004135116,0.00060736,0.0008132089,0.00057313,0.002711607],"category_scores_gemma":[0.0003387013,0.0003720618,0.0006538215,0.0003176093,0.0002608703,0.0007668571,0.0003641425,0.000357746,0.0005097769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004726741,"about_ca_system_score_gemma":0.0005985698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01933105,"about_ca_topic_score_gemma":0.009938314,"domain_scores_codex":[0.9998937,0.00002184755,0.000003756213,0.00002531944,0.00004050153,0.00001487126],"domain_scores_gemma":[0.9999042,0.00003713016,0.00001061439,0.00001000003,0.00003243539,0.000005631236],"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":[0.00001438078,0.00001796369,0.0003244041,0.00001143636,0.000008709533,0.00001866749,0.00001782505,0.9919022,0.002576957,0.0009153625,0.0001606059,0.004031544],"study_design_scores_gemma":[0.000001681092,0.000007640087,0.0001626341,8.915737e-7,0.000002106051,0.000002521072,0.000002284534,0.9992556,0.0002485855,0.0001512013,0.0001630066,0.000001739292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2072075,0.0003069893,0.7558228,0.0001577224,0.00005965169,0.0001996227,0.0007267969,0.001292163,0.03422679],"genre_scores_gemma":[0.9711357,0.0002046473,0.01446771,0.00002265398,0.00002147709,0.0002009258,0.0003256362,0.00008911928,0.01353203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01933105,"threshold_uncertainty_score":0.03843707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839167317740517,"score_gpt":0.2784175096557265,"score_spread":0.2600258364783214,"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."}}