{"id":"W2246516683","doi":"10.3233/978-1-61499-405-3-679","title":"Organizational Aspects and Needs of E-government: a Knowledge Path for Designing and Implementing Value Interoperable Services","year":2014,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Interoperability; Knowledge management; Government (linguistics); Value (mathematics); Path (computing); Business; Computer science; Process management; World Wide Web","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":[0.001548253,0.0003272185,0.0002228596,0.0009596975,0.001817788,0.007266261,0.0007964373,0.002592516,0.004409521],"category_scores_gemma":[0.001274445,0.000305275,0.0002300928,0.001688026,0.006538073,0.01004796,0.002439549,0.003165257,0.001273278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004681618,"about_ca_system_score_gemma":0.006619622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003691708,"about_ca_topic_score_gemma":0.004520417,"domain_scores_codex":[0.9989416,0.0005217174,0.0000525407,0.00007723447,0.0002484207,0.00015856],"domain_scores_gemma":[0.9992823,0.00034915,0.00004696638,0.00008177055,0.0001270687,0.00011277],"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":[0.000003708238,0.00002515465,0.0002500553,0.0001013662,0.0000018477,0.00009029928,0.009631956,0.0002427948,0.0003181246,0.9529388,0.00686391,0.02953196],"study_design_scores_gemma":[0.000003328723,0.0000149996,0.0008497007,0.0004466724,0.00000470758,0.0002064623,0.0199921,0.0009404913,0.0003327012,0.4322152,0.5449852,0.000008247905],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02872092,0.01794499,0.06033616,0.09182918,0.0006385819,0.0001085131,0.00008563921,0.0001470598,0.800189],"genre_scores_gemma":[0.7104555,0.03006141,0.06278136,0.005646139,0.0006037042,0.0002768538,0.0003187437,0.0001909822,0.1896653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007266261,"threshold_uncertainty_score":0.03396767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748825421684924,"score_gpt":0.2795210773566056,"score_spread":0.2520328231397563,"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."}}