{"id":"W3125184005","doi":"","title":"Consumer Preferences for Improvements in Mobile Telecommunication Services","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Roaming; Business; The Internet; Order (exchange); Mobile internet; Willingness to pay; Service (business); Mobile service; Telecommunications; Quality (philosophy); Mobile telephony; Service provider; Mobile QoS; Quality of service; Marketing; Computer science; Mobile radio; Economics; Finance; Microeconomics; World Wide Web","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":[0.002421428,0.0002947409,0.000438154,0.0002608334,0.0002840615,0.001428933,0.0002761224,0.001611272,0.007704529],"category_scores_gemma":[0.007851319,0.0002282047,0.0006664876,0.0003869193,0.0005974629,0.0007509904,0.0003448302,0.0009611103,0.0003639263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005334525,"about_ca_system_score_gemma":0.0002412632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001696285,"about_ca_topic_score_gemma":0.001759999,"domain_scores_codex":[0.9987015,0.0007024503,0.00006550305,0.0001394479,0.0002680857,0.0001230729],"domain_scores_gemma":[0.9869849,0.01035951,0.001324067,0.0006978259,0.0003429175,0.0002905905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01797839,0.01710572,0.7983971,0.0007589535,0.001416953,0.001316012,0.004635407,0.03925182,0.04824923,0.01449038,0.001844486,0.05455551],"study_design_scores_gemma":[0.002369807,0.01382516,0.8831313,0.00006660339,0.0006874779,0.0003598949,0.006524171,0.06763637,0.01125662,0.009491232,0.004367299,0.0002839896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983935,0.00001444378,0.000367713,0.00007891202,0.000002676564,0.00003360183,0.000077345,0.000004817196,0.001027177],"genre_scores_gemma":[0.9987069,0.00002090534,0.0005891484,0.00006508446,0.000004234837,0.00005392286,0.00009382796,0.000001347287,0.0004644177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007704529,"threshold_uncertainty_score":0.02577418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1439880159143713,"score_gpt":0.3238170193269218,"score_spread":0.1798290034125504,"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."}}