{"id":"W2795657326","doi":"10.4271/2018-01-0781","title":"Prediction of Charge Air Cooler Performance in a Racing Drive Cycle by 1D-3D Coupling","year":2018,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Refrigeration and Air Conditioning Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bentley (Canada)","funders":"","keywords":"Coupling (piping); Charge (physics); Driving cycle; Environmental science; Automotive engineering; Physics; Engineering; Mechanical engineering; Thermodynamics","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":[0.0002105955,0.0005818118,0.0003470582,0.0005287873,0.0004305288,0.0006542054,0.0004338372,0.0008146515,0.001693628],"category_scores_gemma":[0.0006931557,0.0004446077,0.0005995684,0.0003835926,0.0002775937,0.0002613577,0.0002882119,0.0003605225,0.0003287118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008377946,"about_ca_system_score_gemma":0.0007478473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02597796,"about_ca_topic_score_gemma":0.01585996,"domain_scores_codex":[0.9998982,0.00001451079,0.000005251541,0.00002041495,0.00004429829,0.00001722543],"domain_scores_gemma":[0.9996774,0.0001676699,0.00003738743,0.00002634184,0.00006619699,0.00002503547],"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":[0.00004162303,0.00004291247,0.004699327,0.00002075494,0.000007251584,0.00004247843,0.00003305811,0.9871862,0.003368549,0.000160202,0.0001843918,0.004213197],"study_design_scores_gemma":[0.000003771903,0.00002017773,0.001412006,0.000001470345,0.000002157451,0.000006750339,0.000007365431,0.9971263,0.001265796,0.000031115,0.0001189192,0.000004216181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675686,0.0001100371,0.02427207,0.00007509246,0.0000197191,0.00005980627,0.0006180594,0.0006099721,0.006666564],"genre_scores_gemma":[0.9937854,0.00005730934,0.004779418,0.00001167675,0.000002109953,0.00003277105,0.0003530876,0.00003361285,0.0009445556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02597796,"threshold_uncertainty_score":0.0516535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008482687145267764,"score_gpt":0.2146818906873175,"score_spread":0.2061992035420498,"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."}}