{"id":"W4400727703","doi":"10.1109/mdm61037.2024.00027","title":"Effective Trajectory Imputation using Simple Probabilistic Language Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Imputation (statistics); Probabilistic logic; Computer science; Trajectory; Simple (philosophy); Language model; Artificial intelligence; Natural language processing; Algorithm; Machine learning; Missing data","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":[0.0006547165,0.00006090249,0.00008342467,0.00008884181,0.0002740113,0.0001270718,0.00006791544,0.00005047059,0.0005562987],"category_scores_gemma":[0.0001250613,0.00005487703,0.00007831283,0.000392578,0.0001078619,0.0002353062,0.000007678092,0.00007170578,0.00004109347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238763,"about_ca_system_score_gemma":0.0002232054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01575533,"about_ca_topic_score_gemma":0.01616742,"domain_scores_codex":[0.9991331,0.0002135146,0.0001124127,0.0002015864,0.0001921594,0.0001472793],"domain_scores_gemma":[0.9994569,0.0003322556,0.00001524407,0.00008611001,0.00005553768,0.00005394554],"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":[0.00001363896,0.000160259,0.0002584774,0.0003082036,0.0001692832,0.00001967507,0.2313407,0.3692648,0.001789546,0.2069519,0.0003714924,0.1893521],"study_design_scores_gemma":[0.00005306841,0.00001798632,0.0001317248,0.00002186113,0.00007682341,2.242378e-7,0.01277757,0.9341491,0.0001110239,0.05218468,0.0003507032,0.0001252609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7882785,0.0002811494,0.193992,0.0001442166,0.0001013297,0.0004627554,0.000006788569,0.0003094447,0.01642379],"genre_scores_gemma":[0.9989731,0.000002413863,0.0002367511,0.00005228011,0.0001631325,0.00002508848,0.00001234336,0.000006827081,0.0005281123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5648843,"threshold_uncertainty_score":0.9907988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02410500989287438,"score_gpt":0.3419354468214865,"score_spread":0.3178304369286121,"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."}}