{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006784802,0.001908623,0.001146697,0.008716467,0.0007759861,0.004764061,0.003499926,0.001948335,0.00375536],"category_scores_gemma":[0.01402379,0.001126973,0.002498396,0.003685497,0.001749287,0.006422772,0.005036677,0.00175751,0.001262166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434504,"about_ca_system_score_gemma":0.002934158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004715696,"about_ca_topic_score_gemma":0.004910578,"domain_scores_codex":[0.9926469,0.003482324,0.001008601,0.0009533658,0.001570119,0.0003386402],"domain_scores_gemma":[0.9892657,0.005208822,0.0007812003,0.002266894,0.002123938,0.000353552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002168441,0.0008235321,0.01380764,0.002257237,0.000492441,0.002954888,0.006954542,0.3027635,0.02409497,0.1812861,0.003660727,0.4606876],"study_design_scores_gemma":[0.00004557709,0.0002512827,0.004814717,0.001461701,0.0003471682,0.001153154,0.004039582,0.7842961,0.01494106,0.1452605,0.04313126,0.0002578811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004437345,0.00009757179,0.9926546,0.0001021943,0.000007132206,0.0002734739,0.0002486961,0.0004432967,0.001735703],"genre_scores_gemma":[0.08388429,0.0002738932,0.913025,0.00006674553,0.00001445651,0.0003751897,0.001396962,0.0001149624,0.000848531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008716467,"threshold_uncertainty_score":0.03588188,"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."}}