{"id":"W4390397584","doi":"10.18280/ts.400601","title":"Deep Learning-Driven Regulation of Vehicle Speed Limits in Response to Weather Conditions","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Environmental science; Meteorology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003420088,0.0004095926,0.0002994596,0.0002143032,0.000128751,0.0003573128,0.0004468285,0.0003785787,0.0008200103],"category_scores_gemma":[0.00148271,0.0002049709,0.0001861796,0.0001529597,0.0002615177,0.0003302091,0.0003866975,0.0006660402,0.0001755786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004012398,"about_ca_system_score_gemma":0.0004595025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005718482,"about_ca_topic_score_gemma":0.007829297,"domain_scores_codex":[0.999868,0.00001580588,0.000004646428,0.00004329422,0.00003033298,0.00003794249],"domain_scores_gemma":[0.9994979,0.0002554783,0.00006395461,0.00002762194,0.0001246014,0.00003040422],"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":[0.0001373475,0.00009822282,0.002942456,0.00003200619,0.00002381796,0.00003504808,0.00002926998,0.9480076,0.009730142,0.001108449,0.0007148443,0.03714079],"study_design_scores_gemma":[0.000001855394,0.00001200645,0.0007197811,0.000001842947,0.000001723848,0.000003087601,0.000001763752,0.9978764,0.001001204,0.0003088128,0.00006964226,0.000001840681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5477638,0.0004377644,0.4429809,0.0004285121,0.0001573847,0.00003222797,0.0003242518,0.0009212623,0.006954042],"genre_scores_gemma":[0.9962054,0.00002394116,0.002855976,0.00002052698,0.000007228257,0.000007466482,0.00007820535,0.00001282021,0.000788459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005718482,"threshold_uncertainty_score":0.01137036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167686601638451,"score_gpt":0.2452190118418551,"score_spread":0.22845035167801,"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."}}