{"id":"W4296186646","doi":"10.5430/ijba.v13n5p19","title":"Analysis of the Public Management Profile in Brazilian Municipalities and the Differentials Found in Smart City Management","year":2022,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scarcity; Context (archaeology); Population; Business; Smart city; Economic growth; Creativity; Environmental planning; Regional science; Geography; Political science; Sociology; Economics; Computer science; Computer security","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":[0.001645833,0.0001324794,0.0003043181,0.002593196,0.001609799,0.001630605,0.0003814882,0.0002849365,0.001888267],"category_scores_gemma":[0.009142697,0.0002288466,0.0002279203,0.004746838,0.0009081094,0.0009096581,0.001492317,0.0002510175,0.0001678753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003263168,"about_ca_system_score_gemma":0.002908366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07469613,"about_ca_topic_score_gemma":0.1240046,"domain_scores_codex":[0.9985901,0.0003666885,0.000144368,0.000173676,0.0003532268,0.0003720164],"domain_scores_gemma":[0.9953859,0.001235195,0.001471204,0.000272597,0.001099357,0.000535673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006174411,0.00007062652,0.8902965,0.0001659482,0.00002653434,0.000393977,0.07401449,0.0001799539,0.0007766106,0.003053016,0.0009082945,0.03005242],"study_design_scores_gemma":[0.000001672508,0.00003211374,0.8626584,0.00009681809,0.00001451405,0.0001575115,0.1280086,0.0002700149,0.0001540447,0.0003158707,0.008278376,0.00001206622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949491,0.000223018,0.0001512858,0.0002369845,0.000004061693,0.00002102545,0.000158035,0.000004635707,0.004251863],"genre_scores_gemma":[0.9992383,0.0001528946,0.0000883717,0.0000150289,0.000002839011,0.00001323934,0.000118378,0.000002729498,0.0003681663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07469613,"threshold_uncertainty_score":0.1485227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682940804084208,"score_gpt":0.2423305418218389,"score_spread":0.2255011337809968,"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."}}