{"id":"W4378808142","doi":"10.18280/ijsdp.180520","title":"Developing Digital Citizenship in Municipality: Factors and Barriers","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Business; Environmental planning; Political science; Environmental science; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001665812,0.0001772241,0.0002686439,0.0008371542,0.003650894,0.003202138,0.0005092844,0.0005082209,0.004179381],"category_scores_gemma":[0.008896563,0.0002026176,0.0002261079,0.002039879,0.001269204,0.001725543,0.003079564,0.00057841,0.000261079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002334216,"about_ca_system_score_gemma":0.004745175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02664373,"about_ca_topic_score_gemma":0.04314597,"domain_scores_codex":[0.9982364,0.0006407532,0.0001661343,0.0001345194,0.0003082864,0.0005138651],"domain_scores_gemma":[0.99467,0.001581092,0.001341414,0.0002952494,0.0006824238,0.001429802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007211545,0.0004143229,0.8523437,0.0003420158,0.00004468536,0.001723211,0.09810216,0.0002790604,0.001044865,0.004381275,0.001669914,0.0395827],"study_design_scores_gemma":[0.000009803939,0.0001759608,0.6154903,0.0002721913,0.00004481806,0.000619144,0.3622809,0.0005615152,0.0003522807,0.001293465,0.01886581,0.00003384148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995662,0.0001426518,0.0001361695,0.0004343254,0.000005941755,0.00003060122,0.00003625814,0.000006538642,0.003545483],"genre_scores_gemma":[0.9992079,0.00009145779,0.000125217,0.00002971868,0.000001894272,0.000017191,0.00002445434,0.000001429598,0.0005006054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02664373,"threshold_uncertainty_score":0.05297726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04267128620987475,"score_gpt":0.3177007428794881,"score_spread":0.2750294566696134,"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."}}