{"id":"W4409336685","doi":"10.1145/3729226","title":"TrajLearn: Trajectory Prediction Learning using Deep Generative Models","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Spatial Algorithms and Systems","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Generative grammar; Trajectory; Computer science; Artificial intelligence; Deep learning; Machine learning; Physics","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":[0.0006728226,0.001596321,0.001060897,0.001124859,0.0005058209,0.001136043,0.003572041,0.001334827,0.003468819],"category_scores_gemma":[0.00271136,0.0009728011,0.001616589,0.001489585,0.0006234902,0.002077838,0.001839087,0.003115152,0.001569292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606402,"about_ca_system_score_gemma":0.00168754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03808264,"about_ca_topic_score_gemma":0.05499628,"domain_scores_codex":[0.9996487,0.00005917922,0.00001650878,0.0001531804,0.00007109693,0.00005126529],"domain_scores_gemma":[0.999377,0.0002778703,0.00006579285,0.0001143834,0.0001112465,0.00005375328],"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":[0.00009875877,0.00009834813,0.003502066,0.00009838444,0.0001285821,0.0001292699,0.00007199441,0.8803253,0.001095268,0.004934721,0.01345875,0.0960585],"study_design_scores_gemma":[0.000005993204,0.000008462071,0.0001045379,0.000007630844,0.000005657399,0.00001465253,0.000005415426,0.9963825,0.0002531492,0.002592026,0.0006150279,0.000004902799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03141585,0.001145855,0.9420574,0.0008474227,0.0002644974,0.0001222701,0.004429771,0.01704163,0.002675272],"genre_scores_gemma":[0.605926,0.00110259,0.3596936,0.0008872263,0.0001777778,0.0003570445,0.02221496,0.001405781,0.008234955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03808264,"threshold_uncertainty_score":0.07572198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028853318708677,"score_gpt":0.2337149944559781,"score_spread":0.2134264612688913,"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."}}