{"id":"W2987914039","doi":"","title":"Investigation of Engine Coolant Loop Flow Modelling from a System Simulation Perspective","year":2019,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Windsor","keywords":"Coolant; Perspective (graphical); Loop (graph theory); Computer science; Environmental science; Automotive engineering; Simulation; Engineering; Mechanical engineering; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006815087,0.000601456,0.0005201051,0.0004637013,0.0004201002,0.00163535,0.0006575559,0.000682851,0.00297308],"category_scores_gemma":[0.001250472,0.0002752043,0.000697109,0.0003397687,0.0004742522,0.0007706177,0.0004175505,0.0007069905,0.0003858364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008807238,"about_ca_system_score_gemma":0.001530795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004659,"about_ca_topic_score_gemma":0.005012814,"domain_scores_codex":[0.9997039,0.00008899982,0.00001605815,0.00004138166,0.0001136483,0.00003589558],"domain_scores_gemma":[0.9995199,0.0002743349,0.00003826798,0.00004788089,0.0001038612,0.00001569654],"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":[0.00004273632,0.00004247594,0.001391347,0.0001029817,0.00001132778,0.0000468972,0.0001127493,0.9758793,0.007064895,0.007277396,0.0002312671,0.007796698],"study_design_scores_gemma":[0.000005169121,0.0000345229,0.000323369,0.000009966573,0.000003786097,0.00001029708,0.00002125146,0.9956625,0.002170139,0.0004759952,0.001277727,0.000005219888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4380382,0.000916391,0.5137869,0.0005556136,0.0001351861,0.0003715153,0.001223116,0.001737959,0.04323507],"genre_scores_gemma":[0.9267104,0.0008148167,0.06360034,0.00004928066,0.0000236937,0.0002280826,0.0007720384,0.0002000341,0.007601353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01004659,"threshold_uncertainty_score":0.01997626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832286426566651,"score_gpt":0.201444628194352,"score_spread":0.1831217639286855,"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."}}