{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004039552,0.000650074,0.001010001,0.0002610991,0.000305476,0.00009164086,0.0008423646,0.0006713227,0.0003128105],"category_scores_gemma":[0.000170775,0.000625722,0.0003817341,0.0007894257,0.0006415338,0.0005764426,0.0003997165,0.001376736,0.00007058543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004098339,"about_ca_system_score_gemma":0.00006933707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000259006,"about_ca_topic_score_gemma":0.006476679,"domain_scores_codex":[0.996076,0.0001396465,0.001094872,0.0008028438,0.0008598003,0.001026874],"domain_scores_gemma":[0.9977241,0.0004230471,0.00008819842,0.001081796,0.0003198689,0.0003629954],"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":[0.00003850373,0.0000846524,0.00007768774,0.0001157563,0.00005872291,0.00001206068,0.00002219111,0.1495925,0.8447398,0.004448582,0.0001658688,0.0006436018],"study_design_scores_gemma":[0.001259223,0.0007089544,0.9289037,0.0005739667,0.00009391544,0.0001185556,0.0003280606,0.05951369,0.000587889,0.0053739,0.001077852,0.001460286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984442,0.0005815423,0.0005835587,0.0005436867,0.000186836,0.0009876603,0.00009217054,0.001615628,0.01096693],"genre_scores_gemma":[0.970668,0.0003218576,0.02811554,0.0003625418,0.00008028243,0.0001629594,0.00005827282,0.0001695037,0.00006102172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.928826,"threshold_uncertainty_score":0.9996194,"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."}}