{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001122522,0.00008056569,0.0001203262,0.000396473,0.0002154456,0.0003980426,0.0002162015,0.00005129431,0.00002060641],"category_scores_gemma":[0.0005938902,0.00007268119,0.00001755702,0.0002749012,0.00007102427,0.0006314894,0.000117405,0.000118429,9.297286e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002282042,"about_ca_system_score_gemma":0.0004497507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002317318,"about_ca_topic_score_gemma":0.00007028262,"domain_scores_codex":[0.9988427,0.00003792129,0.0002753861,0.00008824858,0.0005007884,0.0002549602],"domain_scores_gemma":[0.9992211,0.0002783301,0.000144406,0.00002071516,0.0002199594,0.0001155299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003159968,0.00000291024,0.8453214,0.00001649538,0.0000714806,0.0005766526,0.1173966,0.00001467437,0.000001304018,0.03429098,0.0002056912,0.002070231],"study_design_scores_gemma":[0.0003563796,0.000009117909,0.2018448,0.0001290265,0.000003024214,0.000005878931,0.7308664,0.000017773,0.00003139818,0.005192432,0.06141409,0.0001296774],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922025,0.000169555,0.00002862916,0.001656276,0.000242615,0.00004753689,0.000001313267,0.00001464748,0.005636976],"genre_scores_gemma":[0.9985273,0.0001042907,0.00017406,0.0001056406,0.0001056902,0.000001278498,0.00000781258,0.000004857345,0.0009690314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6434765,"threshold_uncertainty_score":0.3838333,"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."}}