{"id":"W3186111164","doi":"10.1139/tcsme-2021-0004","title":"A mathematical model and a method to measure the instantaneous power output of vehicular driving wheels","year":2021,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Postdoctoral Science Foundation","keywords":"Dynamometer; Power (physics); Automotive engineering; Torque; Measure (data warehouse); Control theory (sociology); Rolling resistance; Simulation; Engineering; Computer science; Mechanical engineering; Control (management)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003982341,0.0001220646,0.00021231,0.0000349134,0.0001251611,0.0000228929,0.0002227339,0.0001253333,0.000008400075],"category_scores_gemma":[0.00006201256,0.000096319,0.0003375326,0.0002753181,0.0000292829,0.00003278218,0.00001634797,0.0002798066,2.445359e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001837622,"about_ca_system_score_gemma":0.0001566603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002303999,"about_ca_topic_score_gemma":0.006537204,"domain_scores_codex":[0.9991419,0.00001251314,0.0002222831,0.0001325186,0.0002101918,0.0002805868],"domain_scores_gemma":[0.9992498,0.0001392686,0.00001341107,0.0002915049,0.0001104129,0.000195671],"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":[0.000001422228,0.000007181051,2.761564e-7,0.000123584,0.0001576212,7.563455e-7,0.0004713102,0.925331,0.05997316,0.01328313,0.00002047986,0.0006300836],"study_design_scores_gemma":[0.0001153063,0.00001330146,0.000009544807,0.0000609457,0.00005998613,0.00002071381,0.0001396326,0.9957806,0.002795827,0.0007887624,0.000114664,0.0001006783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02934308,0.0001104441,0.9694542,0.0005450537,0.00005805126,0.0002917264,0.0001100552,0.00002577957,0.00006165279],"genre_scores_gemma":[0.9128577,0.00001412402,0.08693612,0.00003727655,0.000006292183,0.00003345674,0.000001104198,0.00003762386,0.0000763159],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8835146,"threshold_uncertainty_score":0.3927775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256314711583065,"score_gpt":0.22630113694523,"score_spread":0.2137379898293994,"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."}}