{"id":"W4292959172","doi":"10.5267/j.ijdns.2022.6.005","title":"Mobile government public value model for assessing the public institution’s services: Evidence through the context of Jordan","year":2022,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Public relations; Structural equation modeling; Value (mathematics); Mediation; Social media; Institution; Context (archaeology); Public value; Business; Internet privacy; Political science; Computer science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007585556,0.00007775864,0.0001199177,0.00003270572,0.001886708,0.0009378495,0.005223284,0.00001897595,0.00004349256],"category_scores_gemma":[0.0003394481,0.00004777208,0.00005066279,0.0004871063,0.000985234,0.006002851,0.001304994,0.0001824536,2.623572e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002963295,"about_ca_system_score_gemma":0.001107444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003064539,"about_ca_topic_score_gemma":0.0006874033,"domain_scores_codex":[0.9961579,0.0001865289,0.0003896057,0.0002047428,0.002803252,0.000257949],"domain_scores_gemma":[0.9977015,0.000697231,0.00072967,0.0002971436,0.0004987979,0.00007571846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001045048,0.0002466957,0.02173852,0.00002571508,0.0001982895,0.000004260664,0.0378442,0.01126836,0.0001749267,0.8690671,0.009051251,0.05027617],"study_design_scores_gemma":[0.0005608482,0.0001507016,0.0008495798,0.0001597726,0.00005462271,0.00003944758,0.1184359,0.2795224,0.00002608455,0.0156002,0.5844185,0.0001818911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7399005,0.01224982,0.04913309,0.1798046,0.008788195,0.00143852,0.0007592866,0.00003085399,0.007895061],"genre_scores_gemma":[0.9950198,0.0008495616,0.001240819,0.002265625,0.0005198838,0.00001748679,0.000006064043,0.00000350426,0.00007723894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8534669,"threshold_uncertainty_score":0.9994127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1064146891202634,"score_gpt":0.3876600996951182,"score_spread":0.2812454105748547,"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."}}