{"id":"W4311528069","doi":"10.3390/wevj13120231","title":"Toward Synthetic Data Generation to Enhance Skidding Detection in Winter Conditions","year":2022,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Computer science; Set (abstract data type); Data set; Synthetic data; Artificial intelligence; Data mining; Network structure; Real-time computing; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001010847,0.0005888141,0.0003457649,0.0007745071,0.0001614397,0.0004283356,0.0006441505,0.0005512092,0.0005637858],"category_scores_gemma":[0.003481491,0.000233696,0.0003059944,0.0004214999,0.0002255208,0.0005251792,0.0003996799,0.0004506119,0.0002392375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003710018,"about_ca_system_score_gemma":0.0003143019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004096296,"about_ca_topic_score_gemma":0.004248563,"domain_scores_codex":[0.9997281,0.00009140981,0.00001797578,0.00007020936,0.00006072464,0.00003149782],"domain_scores_gemma":[0.9986036,0.0006088907,0.0001179447,0.0001381972,0.0004875364,0.0000438756],"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":[0.0004711607,0.000331522,0.01793929,0.0001289628,0.00008825721,0.000228496,0.0001172869,0.7613184,0.02308318,0.0008658256,0.001973466,0.1934541],"study_design_scores_gemma":[0.000004744485,0.00004211516,0.001901363,0.000003624864,0.000005187601,0.00001876437,0.00001950689,0.9932442,0.004206703,0.0002438925,0.0003052846,0.000004544539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5285536,0.0003002541,0.4653371,0.0004359984,0.0001800662,0.0001165456,0.0009690906,0.001854166,0.002253071],"genre_scores_gemma":[0.9255569,0.00006674614,0.07211929,0.0000492005,0.00002665781,0.00004973605,0.001408762,0.00004812333,0.0006746337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004096296,"threshold_uncertainty_score":0.008144915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475185721784091,"score_gpt":0.2448233025690681,"score_spread":0.2300714453512272,"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."}}