{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002809425,0.001066064,0.0006642247,0.001506634,0.0005954451,0.0009778707,0.001340161,0.001402295,0.0008508081],"category_scores_gemma":[0.01095876,0.0003616473,0.0004867973,0.001334504,0.0005291546,0.001085218,0.0006379486,0.0009600588,0.0003196208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403214,"about_ca_system_score_gemma":0.001150066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02439165,"about_ca_topic_score_gemma":0.01554796,"domain_scores_codex":[0.9991325,0.0003758608,0.0000681698,0.0001798491,0.0001433314,0.0001004084],"domain_scores_gemma":[0.9943374,0.003945659,0.000333308,0.0003252769,0.0008960837,0.0001622846],"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":[0.0000702269,0.0001262682,0.002657084,0.00004391293,0.00003204901,0.00002869624,0.0000277853,0.9592008,0.0003273363,0.0005335485,0.0005564193,0.03639586],"study_design_scores_gemma":[0.000004463982,0.00001676659,0.0002564151,0.000003396834,0.000002104224,0.000005439444,0.00001093212,0.9989059,0.0003222417,0.000361028,0.0001087174,0.000002665133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.668431,0.0007037441,0.3201607,0.0009216577,0.0002972164,0.0003412359,0.001093335,0.004455836,0.00359531],"genre_scores_gemma":[0.9139886,0.0001060146,0.0836865,0.00007587238,0.00002434709,0.00009608196,0.001300416,0.0000710254,0.0006511488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02439165,"threshold_uncertainty_score":0.04849935,"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."}}