{"id":"W2152136827","doi":"10.1590/s1984-92302002000300004","title":"Governo eletrônico e democracia: uma análise preliminar dos impactos e potencialidades na gestão pública","year":2002,"lang":"pt","type":"article","venue":"Organizações & Sociedade","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Political science; Business","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":[0.002298827,0.0002838658,0.0004057604,0.004567833,0.002485203,0.006949716,0.000566208,0.000752289,0.01388073],"category_scores_gemma":[0.008526281,0.0002280005,0.0006335992,0.01125801,0.003497097,0.004530752,0.002417275,0.001104761,0.000929713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004970394,"about_ca_system_score_gemma":0.005341642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05126213,"about_ca_topic_score_gemma":0.1063535,"domain_scores_codex":[0.9979444,0.0006468174,0.00009984811,0.0002731061,0.0007853666,0.000250419],"domain_scores_gemma":[0.9919813,0.00497084,0.0008951462,0.00061803,0.00115055,0.0003840564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001145364,0.000122291,0.4120528,0.001783651,0.0002240092,0.0009286142,0.09584073,0.002705942,0.0009141747,0.3544108,0.01440441,0.1164979],"study_design_scores_gemma":[0.00001753664,0.0001312241,0.4482895,0.001491399,0.0002993839,0.0006890334,0.1313424,0.002463082,0.0007951851,0.03403159,0.380379,0.00007059387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6002269,0.01088543,0.007107818,0.01040456,0.0001937885,0.0001848416,0.00255157,0.0001081332,0.3683369],"genre_scores_gemma":[0.9839304,0.003873231,0.001090055,0.0002318281,0.00005416323,0.00004738852,0.0004585038,0.00002971213,0.01028477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05126213,"threshold_uncertainty_score":0.1019275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02882098229291041,"score_gpt":0.268100974207265,"score_spread":0.2392799919143546,"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."}}