{"id":"W2354065504","doi":"","title":"Quantitative Analysis of Influence on Vehicular Lateral Stability by Road Surface Condition","year":2014,"lang":"en","type":"article","venue":"Journal of Wuhan University of Technology-Mater Sci Ed","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Friction coefficient; Stability (learning theory); Road surface; Coefficient of friction; Vehicle dynamics; Automotive engineering; Environmental science; Control theory (sociology); Materials science; Engineering; Computer science; Control (management); Composite material","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":[0.0001993464,0.00006847695,0.0002624849,0.000410053,0.00003834901,0.00000426323,0.0002057583,0.0001032376,0.00002548488],"category_scores_gemma":[0.00002878905,0.00007169724,0.00009476193,0.0004390533,0.0001162954,0.0001186118,0.00001966958,0.0001259062,0.000003090863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005135394,"about_ca_system_score_gemma":0.000009871088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002704741,"about_ca_topic_score_gemma":0.00001038514,"domain_scores_codex":[0.9994665,0.00002502731,0.0002197962,0.00008037795,0.0001299622,0.00007828035],"domain_scores_gemma":[0.9992751,0.0000343094,0.0002112637,0.0001792876,0.0002693063,0.00003072505],"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":[0.000061105,0.00007147405,0.01541869,0.00002913489,0.0005127873,0.000001255618,0.0004268448,0.7588411,0.223492,0.0007000179,0.0001772187,0.0002684052],"study_design_scores_gemma":[0.001312504,0.0004451723,0.06505239,0.0001219023,0.0007004566,0.000003120623,0.001058962,0.7872025,0.1423553,0.0008822089,0.000616504,0.0002490021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823815,0.00002667926,0.01721803,0.0001843059,0.00002506599,0.00004647193,0.00002129375,0.00004823168,0.00004844616],"genre_scores_gemma":[0.9973499,0.00001801312,0.002605976,0.000006857299,0.000001630061,4.591522e-8,0.000006293813,0.000003709183,0.000007594667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0811367,"threshold_uncertainty_score":0.2923728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007742501839097466,"score_gpt":0.221658088762276,"score_spread":0.2139155869231786,"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."}}