{"id":"W2171402229","doi":"10.1109/snpd.2009.96","title":"A Generic e-Government Process Based on Case Studies","year":2009,"lang":"en","type":"article","venue":"","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Government (linguistics); Order (exchange); E-Government; Process management; Computer science; Business; Knowledge management; World Wide Web; Information and Communications Technology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008603603,0.0005213517,0.0003786191,0.002349789,0.003032031,0.003490527,0.001191584,0.002131734,0.002881592],"category_scores_gemma":[0.01128167,0.0002984494,0.0007178214,0.004806677,0.002167844,0.004396765,0.00230079,0.001016525,0.0003485443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004715649,"about_ca_system_score_gemma":0.004480314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006238678,"about_ca_topic_score_gemma":0.0108374,"domain_scores_codex":[0.9897038,0.007989487,0.0005738203,0.0004043111,0.0007199111,0.000608556],"domain_scores_gemma":[0.9907342,0.006110591,0.0006092732,0.001044049,0.001221739,0.0002800012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005928528,0.003295996,0.05234357,0.003393508,0.0001033999,0.01145536,0.1350132,0.04433719,0.008987376,0.4224619,0.006903043,0.3111126],"study_design_scores_gemma":[0.0003829656,0.002580725,0.06084447,0.007445957,0.0003581938,0.00893582,0.3578898,0.107595,0.02772213,0.1426294,0.283299,0.0003165737],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7509493,0.001060633,0.1352948,0.002027026,0.00006253256,0.008347665,0.0004964538,0.0002033744,0.101558],"genre_scores_gemma":[0.8866468,0.001026909,0.1069454,0.0001309965,0.000006005061,0.001666403,0.0002755462,0.00001760019,0.003284285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008603603,"threshold_uncertainty_score":0.04550076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04512966682946171,"score_gpt":0.3529137760987477,"score_spread":0.307784109269286,"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."}}