{"id":"W74367042","doi":"","title":"Proceedings of the 2008 international conference on Digital government research","year":2008,"lang":"en","type":"article","venue":"","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Political science; Public relations; Theme (computing); Ninth; Public administration; Library science; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003977883,0.00003939051,0.00004563518,0.00001367915,0.0002835508,0.00009391338,0.0005675995,0.00003379978,0.001235898],"category_scores_gemma":[0.0001449164,0.00002535892,0.00003058558,0.0001861515,0.0004328641,0.0003174931,0.0001260488,0.00009579855,0.00003751403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326766,"about_ca_system_score_gemma":0.00008725435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006206105,"about_ca_topic_score_gemma":0.0002636182,"domain_scores_codex":[0.9975389,0.00001298983,0.00009105056,0.000106497,0.002096854,0.0001536573],"domain_scores_gemma":[0.9995791,0.00007091398,0.00004798116,0.00005303444,0.0002063799,0.00004259348],"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":[0.00001947289,0.000104666,0.1110174,0.000002679817,0.00001180887,3.491909e-7,0.00909543,1.268938e-7,0.0001767002,0.8400403,0.03879562,0.0007353995],"study_design_scores_gemma":[0.0005571402,0.0001731723,0.09504607,0.00007523176,0.000003520747,0.00000214969,0.1519738,0.0001334112,0.004351967,0.009799214,0.7376494,0.0002348879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3995194,0.000002208706,3.186062e-7,0.008238143,0.00009341074,0.00006834282,0.000005700805,0.000007809743,0.5920647],"genre_scores_gemma":[0.9419472,0.00005856129,0.00001415453,0.0001412231,0.0001249424,0.000005011592,3.753409e-7,0.000002269501,0.05770632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8302411,"threshold_uncertainty_score":0.9996771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1331780059451922,"score_gpt":0.3630054052326643,"score_spread":0.229827399287472,"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."}}