{"id":"W2508651884","doi":"10.1016/j.chb.2016.03.002","title":"Reformation of public service to meet citizens’ needs as customers: Evaluating SMS as an alternative service delivery channel","year":2016,"lang":"en","type":"article","venue":"Computers in Human Behavior","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Service delivery framework; Business; Service (business); Service provider; Channel (broadcasting); Service design; Service guarantee; Marketing; Government (linguistics); Service level objective; Internet privacy; Public relations; Telecommunications; Computer science; Political science","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":[0.001646907,0.0002090275,0.0002684915,0.0004640496,0.0003579423,0.0001870954,0.001096559,0.0001417206,0.0002806655],"category_scores_gemma":[0.00005367996,0.0001835171,0.00005787673,0.001130493,0.0001000522,0.001667334,0.0003061507,0.0000938825,0.00007389443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004872245,"about_ca_system_score_gemma":0.0001599078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01236942,"about_ca_topic_score_gemma":0.015674,"domain_scores_codex":[0.9971645,0.0004545263,0.000488183,0.0003438411,0.001053398,0.0004955353],"domain_scores_gemma":[0.998216,0.0001634668,0.0003313545,0.0003607742,0.000652228,0.0002762167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000178143,0.00145017,0.07740858,0.000260375,0.0001436463,0.00003555797,0.6219634,0.0002830445,0.02136182,0.1483291,0.001016272,0.1275699],"study_design_scores_gemma":[0.01838116,0.006012255,0.197979,0.004783814,0.0006491544,0.00003507979,0.6928089,0.009418693,0.01658474,0.03397039,0.01288448,0.006492376],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871479,0.00001268789,0.00008093433,0.00340871,0.0006204392,0.0006207618,0.00001568856,0.00009951409,0.007993398],"genre_scores_gemma":[0.9968476,0.00000832131,0.0004865043,0.002057225,0.0003050609,0.00009063014,0.00002233394,0.00002245706,0.0001599114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1210775,"threshold_uncertainty_score":0.9942073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.103022642534008,"score_gpt":0.3743408598294011,"score_spread":0.2713182172953931,"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."}}