{"id":"W2120178331","doi":"10.1109/wcnc.2008.489","title":"Modeling User Churning Behavior in Wireless Networks Using Evolutionary Game Theory","year":2008,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Churning; Computer science; Wireless; Service provider; Wireless network; Evolutionary game theory; Revenue; Computer network; Game theory; Service (business); Distributed computing; Telecommunications; Mathematics; Business","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":[0.0004176251,0.0001837903,0.0002214314,0.0001317169,0.0002117561,0.0000694324,0.000625946,0.000137417,0.00003027975],"category_scores_gemma":[0.000006269093,0.0001710535,0.00007915546,0.000504587,0.00004982241,0.0007129367,0.0002943111,0.0003311558,0.000008249604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009162341,"about_ca_system_score_gemma":0.0001014533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001319478,"about_ca_topic_score_gemma":0.00001550811,"domain_scores_codex":[0.9983169,0.0001645964,0.0003514129,0.0004250476,0.0002453846,0.0004966086],"domain_scores_gemma":[0.9992573,0.00008729813,0.00005966399,0.0004348552,0.00006216869,0.00009872099],"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":[0.00001476713,0.00006908643,0.013148,0.00000364331,0.000004320779,0.00009421989,0.0001893406,0.9551525,0.00006812884,0.02465502,0.00004590091,0.006555088],"study_design_scores_gemma":[0.0002915946,0.00002347689,0.004151455,0.00006079419,0.000002941011,0.00009719589,0.00001396114,0.9943112,0.00002084039,0.0007371278,0.00004797631,0.0002414087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2797686,0.0001272405,0.7183351,0.0000198567,0.0001313577,0.001110427,1.977303e-7,0.0001263863,0.0003808522],"genre_scores_gemma":[0.9723023,0.00002654842,0.02651541,0.0001810765,0.000181739,0.0006013737,0.000001637232,0.00001885045,0.0001710273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6925337,"threshold_uncertainty_score":0.6975357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03998108050954009,"score_gpt":0.2707526384788831,"score_spread":0.2307715579693431,"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."}}