{"id":"W2970140938","doi":"10.25300/misq/2019/12349","title":"Using Polynomial Modeling to Understand Service Quality in E–Government Websites1","year":2019,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Government (linguistics); Service (business); Quality (philosophy); Service model; E-Government; Computer science; Service quality; Business; World Wide Web; Internet privacy; Public relations; Marketing; Political science; Information and Communications Technology","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":[0.001038265,0.0001326632,0.0002011416,0.00004505092,0.0001627972,0.000196887,0.0003406622,0.0001064525,0.0007178846],"category_scores_gemma":[0.00001476053,0.0001417275,0.00005098032,0.0003949839,0.00002134809,0.0004372079,0.00002448162,0.0001090749,0.0002274105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007380105,"about_ca_system_score_gemma":0.0001332086,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05168852,"about_ca_topic_score_gemma":0.08572985,"domain_scores_codex":[0.9978102,0.0001950598,0.0003004409,0.0003182484,0.0009465132,0.000429541],"domain_scores_gemma":[0.9993854,0.00009576775,0.00008128931,0.0002327374,0.00004460881,0.0001602276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005877895,0.0004902681,0.2072586,0.0002357629,0.0001013726,0.0000104252,0.7380347,0.006595143,0.01720028,0.02019939,0.001048297,0.008238025],"study_design_scores_gemma":[0.002200841,0.0003224415,0.008234535,0.0001665293,0.00002546331,6.968671e-7,0.9152883,0.05689581,0.0001077056,0.001348639,0.01444008,0.0009689028],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609339,0.00003271901,0.0005112733,0.004212041,0.0003997374,0.000317552,0.00001387133,0.00003823375,0.03354071],"genre_scores_gemma":[0.9969642,0.000001666971,0.0004240166,0.00163711,0.000205934,0.000002977412,0.000002228986,0.00001238506,0.0007495491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.199024,"threshold_uncertainty_score":0.9546264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08270393958902456,"score_gpt":0.3500669715372486,"score_spread":0.267363031948224,"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."}}