{"id":"W4409016852","doi":"10.4271/2025-01-8774","title":"On the Critical Importance of Physical Modelling for the Analysis of Coast-Down Data","year":2025,"lang":"en","type":"article","venue":"SAE International Journal of Advances and Current Practices in Mobility","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Data science","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":[],"consensus_categories":[],"category_scores_codex":[0.001144186,0.00006424452,0.0001909836,0.0001086315,0.00002631719,0.00002893765,0.0006041072,0.00001581591,0.000005355417],"category_scores_gemma":[0.001300246,0.00003672988,0.00008830173,0.0002116761,0.0001448053,0.0003768443,0.0001010992,0.0002865414,2.746513e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003265018,"about_ca_system_score_gemma":0.00003903297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001256907,"about_ca_topic_score_gemma":0.0002494954,"domain_scores_codex":[0.9990671,0.00004131302,0.0003958545,0.000107672,0.0003115352,0.00007651931],"domain_scores_gemma":[0.9953414,0.003824852,0.0002539424,0.0002275825,0.000336309,0.0000159357],"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":[0.0002402822,0.0003275326,0.007158562,0.0001359148,0.0006661455,9.169885e-7,0.0001348985,0.9302518,0.0002305111,0.03687338,0.00003531903,0.02394468],"study_design_scores_gemma":[0.0001323273,0.00003052832,0.00510607,0.00006763179,0.0001367845,5.931814e-7,0.0001810881,0.9820856,0.00001586508,0.01147896,0.0007368085,0.00002771898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8682002,0.007581501,0.121996,0.001272016,0.0004662741,0.0001416189,0.0002453781,0.000002101576,0.00009488099],"genre_scores_gemma":[0.9952708,0.004268053,0.0003923944,0.000008469621,0.00004363055,0.000004756182,0.000007874781,0.000002661685,0.000001386557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1270706,"threshold_uncertainty_score":0.155661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05862985538713251,"score_gpt":0.4376092429989598,"score_spread":0.3789793876118273,"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."}}