{"id":"W4394597156","doi":"10.1109/csce60160.2023.00260","title":"Using Learning Algorithms In Synthetic Mobility Trace Generation","year":2023,"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":"Ontario Tech University","funders":"","keywords":"Computer science; TRACE (psycholinguistics); Algorithm; Artificial intelligence; Machine learning","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":[0.002125022,0.00004937719,0.00009035404,0.0001287974,0.0004736283,0.00005907286,0.00008193043,0.00006019886,0.000696588],"category_scores_gemma":[0.0004220131,0.0000509355,0.00004781273,0.0009222613,0.0001006862,0.0001254715,0.00001136711,0.0001024345,0.00009924811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485402,"about_ca_system_score_gemma":0.0001242322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02268583,"about_ca_topic_score_gemma":0.04540763,"domain_scores_codex":[0.9988186,0.000401073,0.0001674847,0.0002053043,0.0002183364,0.0001892053],"domain_scores_gemma":[0.9996271,0.0001428344,0.00002977389,0.000103121,0.00005078823,0.00004636107],"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":[0.000007555145,0.0003690642,0.06065289,0.00003936194,0.00003497513,0.0000112619,0.06961676,0.5836586,0.006761963,0.01197342,0.0002024899,0.2666717],"study_design_scores_gemma":[0.00007819724,0.000008748992,0.005538579,0.000007517167,0.00001135892,7.266608e-8,0.01320121,0.977792,0.0003275585,0.0006473264,0.00227501,0.0001124654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843898,0.00002207347,0.01099065,0.0005960142,0.00006352007,0.0001288446,5.137246e-7,0.000140128,0.0036684],"genre_scores_gemma":[0.9973849,0.00001922345,0.0003127157,0.00002370289,0.0001158432,0.0000113379,0.000006688465,0.000004014677,0.002121593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3941334,"threshold_uncertainty_score":0.9838222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051360487483313,"score_gpt":0.3729042050065649,"score_spread":0.2677681562582336,"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."}}