{"id":"W3124348125","doi":"10.4271/2021-01-0215","title":"1D Modeling of HVAC Unit Air Flow for Automatic Climate Control Simulations","year":2021,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"HVAC; Computer science; Unit (ring theory); Airflow; Atmospheric model; Flow control (data); Flow (mathematics); Environmental science; Control engineering; Automotive engineering; Air conditioning; Meteorology; Engineering; Mechanical engineering; Mechanics; Telecommunications; Physics; Mathematics","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":[0.0002028546,0.000756899,0.0007315553,0.0004188875,0.0005764466,0.001359962,0.00105375,0.001464169,0.00886923],"category_scores_gemma":[0.0006864484,0.0004749756,0.001117416,0.000411381,0.000386114,0.0005238523,0.0006564401,0.0008529315,0.001212575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007758375,"about_ca_system_score_gemma":0.001181347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0157392,"about_ca_topic_score_gemma":0.008477929,"domain_scores_codex":[0.9998173,0.00004311649,0.00001053649,0.00003084561,0.00007572653,0.00002253336],"domain_scores_gemma":[0.999774,0.00009355497,0.00001967464,0.00002842348,0.0000669032,0.00001741176],"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":[0.00001548041,0.00002160553,0.0004434987,0.00004384951,0.000007755768,0.00003906552,0.00003081472,0.9908885,0.001792069,0.001909139,0.0006489941,0.0041592],"study_design_scores_gemma":[0.000004975853,0.000007558093,0.0001548769,0.000005219868,0.000002403638,0.000008207183,0.000007029421,0.9973341,0.0004041251,0.0002695409,0.001797271,0.000004617795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09339327,0.0006874327,0.8445426,0.0005700223,0.0003537321,0.0003450019,0.003451139,0.003836291,0.05282051],"genre_scores_gemma":[0.8285361,0.001075416,0.1455363,0.0002013474,0.00009316865,0.001024652,0.002956561,0.0004260066,0.0201505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0157392,"threshold_uncertainty_score":0.03129518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533148432602818,"score_gpt":0.2524095722493149,"score_spread":0.2370780879232867,"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."}}