{"id":"W4390988433","doi":"10.5267/j.ijdns.2023.11.021","title":"Factors influencing customers’ attitude to adopt e-government mobile applications","year":2024,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Happiness; Government (linguistics); Extant taxon; Sample (material); Psychology; Marketing; Field (mathematics); Business; Association (psychology); Knowledge management; Social psychology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008988288,0.0001644452,0.0001598877,0.0004529773,0.0005209513,0.001937785,0.0001565563,0.0006992908,0.00516565],"category_scores_gemma":[0.005855196,0.000131085,0.0003744812,0.000517726,0.0003598689,0.0007346814,0.0004339493,0.0007980772,0.00061048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003036281,"about_ca_system_score_gemma":0.0004121715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003172811,"about_ca_topic_score_gemma":0.003601224,"domain_scores_codex":[0.9992095,0.0002641282,0.00006060349,0.00006077776,0.0002476251,0.0001573147],"domain_scores_gemma":[0.9954809,0.002264174,0.0008008507,0.0001540456,0.0009382942,0.0003616731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001341249,0.0003487079,0.9693434,0.00007979472,0.00005682498,0.0004426011,0.007223556,0.0001578109,0.001703833,0.0004720464,0.0006166632,0.01942058],"study_design_scores_gemma":[0.000005136259,0.0002038833,0.9757051,0.00004593055,0.00005189754,0.0002728734,0.02038139,0.0007441036,0.0004859823,0.0002112426,0.001871366,0.00002105707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969975,0.00006150423,0.00009854693,0.0001891597,0.000003747941,0.00001138597,0.00002845211,0.00000277601,0.002606908],"genre_scores_gemma":[0.999257,0.00007021416,0.000093772,0.00006062649,0.000004012736,0.000006882488,0.00003482124,0.000001488066,0.0004710143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00516565,"threshold_uncertainty_score":0.01728076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03823381280498045,"score_gpt":0.3740572961996161,"score_spread":0.3358234833946356,"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."}}