{"id":"W4415135180","doi":"10.1080/15472450.2025.2526401","title":"Unifying expert knowledge and field data toward an enhanced scenario description for CAV certification: a comprehensive scenario-based approach","year":2025,"lang":"en","type":"article","venue":"Journal of Intelligent Transportation Systems","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Field (mathematics); Expert system; Key (lock); Knowledge-based systems","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":[0.0003080866,0.0001512325,0.0003107083,0.0002600037,0.00009411766,0.0000464128,0.0002872161,0.0001899063,0.000003561177],"category_scores_gemma":[0.00001764984,0.0001428718,0.0000602466,0.0001907917,0.000036994,0.0003248151,0.000004116654,0.000223829,8.781544e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009219304,"about_ca_system_score_gemma":0.00009432359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003442503,"about_ca_topic_score_gemma":0.00005192723,"domain_scores_codex":[0.9987553,0.00003916098,0.0007630769,0.0001947048,0.0001030248,0.0001446779],"domain_scores_gemma":[0.9990544,0.0001095255,0.0001712136,0.0002782245,0.000325049,0.00006156018],"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":[0.001987985,0.001173067,0.006554839,0.007988457,0.001682795,0.00002653731,0.03799793,0.5789204,0.1387338,0.01234193,0.005517133,0.2070752],"study_design_scores_gemma":[0.001586106,0.0003812013,0.00315674,0.00099996,0.0002190661,0.00002399343,0.0118302,0.8654508,0.08379395,0.0001453468,0.0319277,0.0004849525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08990259,0.004047917,0.9046543,0.0001445837,0.0006323562,0.0003956063,0.00002186285,0.00009390672,0.0001069232],"genre_scores_gemma":[0.994514,0.000379186,0.00478016,0.00004511547,0.0000711075,0.0000294885,0.0001354986,0.00001592979,0.00002949257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9046114,"threshold_uncertainty_score":0.5826144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09015233390361652,"score_gpt":0.3111589588520967,"score_spread":0.2210066249484801,"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."}}