{"id":"W4403513002","doi":"10.1145/3681770.3698572","title":"Realistic Trajectory Generation using Simple Probabilistic Language Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Trajectory; Probabilistic logic; Computer science; Simple (philosophy); Algorithm; Artificial intelligence","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":[0.001255783,0.00080915,0.0006595326,0.0008643505,0.0004740596,0.000936277,0.001812434,0.001150471,0.002269423],"category_scores_gemma":[0.008572649,0.0005480353,0.0009734134,0.001481403,0.0006627356,0.001849677,0.001094449,0.00113804,0.0008320993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107384,"about_ca_system_score_gemma":0.0013309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010752,"about_ca_topic_score_gemma":0.01078439,"domain_scores_codex":[0.9990382,0.0003253086,0.00006623977,0.0003021928,0.0001965086,0.00007159918],"domain_scores_gemma":[0.9957972,0.002861763,0.0002443092,0.0004986823,0.0005010943,0.00009702519],"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":[0.0001262178,0.00005134665,0.001483647,0.00007510971,0.00003134008,0.0001960506,0.0001344213,0.9584663,0.001330699,0.0110392,0.002343185,0.0247224],"study_design_scores_gemma":[0.00001380044,0.00001083402,0.00005848383,0.000003150488,0.000003034971,0.00002154103,0.0000139171,0.9949699,0.0003215384,0.004167813,0.0004110429,0.000004876166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06362445,0.000151672,0.9302949,0.0005233805,0.00007387484,0.0001649455,0.001775207,0.001910308,0.001481224],"genre_scores_gemma":[0.7177166,0.0002455427,0.2708797,0.0001899442,0.00005894902,0.0005285086,0.007690638,0.0003027436,0.002387376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01010752,"threshold_uncertainty_score":0.02009737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06612016735095674,"score_gpt":0.2932081473075745,"score_spread":0.2270879799566178,"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."}}