{"id":"W2165402191","doi":"10.1177/016555150202800301","title":"National Information Policy developments worldwide I: electronic government","year":2002,"lang":"en","type":"article","venue":"Journal of Information Science","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Desk; Public relations; Political science; European union; Procurement; Public administration; Business; Law; Marketing; Economic policy","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003526203,0.00007186544,0.00008775319,0.000416034,0.0005773661,0.000595314,0.000662079,0.00003798036,0.0003689932],"category_scores_gemma":[0.001471545,0.00006204929,0.00004362224,0.001619539,0.0002340225,0.02474054,0.00005513704,0.0001425897,0.0002304527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002020482,"about_ca_system_score_gemma":0.001653087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008391525,"about_ca_topic_score_gemma":0.0000518638,"domain_scores_codex":[0.9946826,0.0000320189,0.0006071693,0.0000401469,0.0042961,0.0003419665],"domain_scores_gemma":[0.9978954,0.00006935369,0.0008667061,0.00006059327,0.0009515817,0.0001564269],"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":[0.0000345197,0.00007115829,0.006931698,0.00001970517,0.00003149927,4.208144e-7,0.07359862,0.0005315835,0.00005031261,0.7560564,0.01716586,0.1455082],"study_design_scores_gemma":[0.0004248433,0.00004724486,0.01208032,0.00002227365,0.00000342619,0.000009730573,0.009530986,0.001011832,0.0001578454,0.001531274,0.9750542,0.0001260003],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0856958,0.00003991364,0.001589278,0.01695292,0.0006207994,0.0001940448,0.000008220098,0.00002913234,0.8948699],"genre_scores_gemma":[0.9952232,0.0002321551,0.0008750725,0.003074159,0.0001851452,0.000002233724,0.000001157169,0.000001296365,0.0004056359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9578884,"threshold_uncertainty_score":0.9888999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502430812942666,"score_gpt":0.2867577264422241,"score_spread":0.2717334183127975,"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."}}