{"id":"W2107308752","doi":"10.1504/eg.2009.024441","title":"Multi-agent based framework for e-government","year":2009,"lang":"en","type":"article","venue":"Electronic Government an International Journal","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Anticipation (artificial intelligence); Agency (philosophy); Government (linguistics); Architecture; Christian ministry; Service (business); Process management; Computer science; Point (geometry); Service-oriented architecture; Business; Service delivery framework; Knowledge management; Web service; World Wide Web; Marketing; Artificial intelligence; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001534615,0.000709779,0.0006896284,0.0008859721,0.001506874,0.003222568,0.002518007,0.002709581,0.007465729],"category_scores_gemma":[0.001419958,0.0004265108,0.001166118,0.0008913785,0.001348943,0.002750597,0.002358777,0.002202315,0.001942941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001798575,"about_ca_system_score_gemma":0.002345371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006840067,"about_ca_topic_score_gemma":0.008315798,"domain_scores_codex":[0.9989594,0.0004406576,0.0000819989,0.0001264358,0.0003046115,0.00008685798],"domain_scores_gemma":[0.9996291,0.0001229656,0.00003397863,0.00006663271,0.00007745114,0.00006983781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000198725,0.00004885598,0.0001701875,0.0001445527,0.00004580731,0.0003020801,0.0002503362,0.03213664,0.001033135,0.9315641,0.006475907,0.02780856],"study_design_scores_gemma":[0.00007287059,0.00006019025,0.0001747198,0.0001975945,0.00006118519,0.0003598756,0.0002233782,0.2946739,0.001168962,0.3939623,0.3089951,0.00004985966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001960467,0.001843885,0.9478434,0.002341205,0.0003580061,0.0003112616,0.0001261088,0.001255363,0.04396019],"genre_scores_gemma":[0.1253919,0.002122626,0.839295,0.0005945441,0.0001972333,0.0009693109,0.0003332362,0.0001553411,0.03094085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007465729,"threshold_uncertainty_score":0.0249753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188659973529365,"score_gpt":0.3396942416210517,"score_spread":0.317807641885758,"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."}}