{"id":"W4412567958","doi":"10.1109/wocc63563.2025.11082250","title":"Robust Vehicle Trajectory Prediction via Counterfactual Intervention for Autonomous Driving","year":2025,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Chongqing Municipal Education Commission; Natural Science Foundation of Chongqing; Chongqing University","keywords":"Counterfactual thinking; Trajectory; Computer science; Intervention (counseling); Artificial intelligence; Psychology","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":[0.001784037,0.0007864599,0.0006480172,0.0006323921,0.0003622757,0.0006753085,0.001376508,0.0007473354,0.0007864644],"category_scores_gemma":[0.01030278,0.0003687068,0.000545366,0.0004796174,0.001011148,0.001536029,0.001303263,0.001465376,0.0001584593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008636116,"about_ca_system_score_gemma":0.001458843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006274526,"about_ca_topic_score_gemma":0.004098331,"domain_scores_codex":[0.9985802,0.0004664497,0.00006577126,0.0003302763,0.0004271212,0.0001301623],"domain_scores_gemma":[0.9940459,0.003532885,0.0008064269,0.0008201707,0.0006138188,0.0001809117],"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":[0.0001615885,0.00004216785,0.00237732,0.00003429811,0.00003787909,0.0000974861,0.00006380595,0.9519045,0.002368205,0.005661229,0.0004791814,0.03677227],"study_design_scores_gemma":[0.000002679176,0.0000177847,0.0001179734,0.000001492563,0.000003290867,0.00001068784,0.000003476508,0.9975871,0.0005780245,0.001591077,0.00008339238,0.000003038007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04430511,0.0001699358,0.9532437,0.0001934753,0.00003831837,0.00004456605,0.00006613878,0.001262294,0.0006764349],"genre_scores_gemma":[0.9475875,0.0001059427,0.05161499,0.00005957852,0.00002666914,0.00004218968,0.000133176,0.00005242755,0.0003775561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006274526,"threshold_uncertainty_score":0.01247603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009139109420375647,"score_gpt":0.2106261380530659,"score_spread":0.2014870286326903,"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."}}