{"id":"W2976918864","doi":"10.22215/etd/2018-12627","title":"Synthetic Data Generator for User Behavioral Analytics Systems","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Generator (circuit theory); Synthetic data; Analytics; Data analysis; Data mining; Process (computing); Behavioral pattern; Data science; Artificial intelligence; Power (physics); Software engineering","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":[0.002633248,0.0008044955,0.0005020081,0.001336323,0.0004112988,0.0009126089,0.001526112,0.0006087109,0.002877575],"category_scores_gemma":[0.0148847,0.0003396086,0.0005476875,0.001335278,0.0004266936,0.00109203,0.001113737,0.001093191,0.001219076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006394507,"about_ca_system_score_gemma":0.0007194243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001631333,"about_ca_topic_score_gemma":0.001420049,"domain_scores_codex":[0.9979425,0.0007674828,0.0001943899,0.0003628473,0.0006430873,0.00008960131],"domain_scores_gemma":[0.9910017,0.00404473,0.0004685494,0.002325468,0.001854485,0.0003051449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002445059,0.002336781,0.04761262,0.001052129,0.0004173813,0.00140382,0.001173888,0.3571128,0.053772,0.02116385,0.06388301,0.4476266],"study_design_scores_gemma":[0.00008001593,0.0002224667,0.003510763,0.00003060855,0.00002123386,0.0002037563,0.0001182024,0.9587867,0.01988135,0.007043518,0.01006565,0.00003582136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.2040659,0.0003678152,0.7351375,0.001032893,0.0004988721,0.00190381,0.01361177,0.0377724,0.005609122],"genre_scores_gemma":[0.6200024,0.0002250627,0.3546681,0.0002622661,0.00008438266,0.001460354,0.02046472,0.0009514194,0.001881324],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.002877575,"threshold_uncertainty_score":0.01392609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08022493173138308,"score_gpt":0.3224869765057953,"score_spread":0.2422620447744123,"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."}}