{"id":"W2065766842","doi":"10.1016/j.worlddev.2014.06.006","title":"Process and Pattern in Institutional Reforms: A Case Study of the Police Pacifying Units (UPPs) in Brazil","year":2014,"lang":"en","type":"article","venue":"World Development","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Institutional change; Process (computing); Political science; Public administration; Computer science","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":[0.003450517,0.0001424821,0.0002599992,0.001712437,0.005456888,0.004235264,0.001183235,0.001257317,0.00288574],"category_scores_gemma":[0.01425581,0.0002625911,0.0002118074,0.002882447,0.005290214,0.002361974,0.003500194,0.001411751,0.000165392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009276712,"about_ca_system_score_gemma":0.0121887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08840996,"about_ca_topic_score_gemma":0.1860671,"domain_scores_codex":[0.9968194,0.001636227,0.0001207756,0.000215942,0.000318374,0.000889398],"domain_scores_gemma":[0.9929399,0.003198563,0.001661298,0.0004119846,0.0007604589,0.001027741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008768211,0.0004310963,0.2321858,0.0002104087,0.00003949644,0.004750427,0.6026753,0.001324742,0.001521285,0.1062343,0.001600851,0.04893863],"study_design_scores_gemma":[0.00001359776,0.00009486167,0.2032569,0.0002779874,0.00002936383,0.0004701499,0.7628984,0.001302477,0.0005761545,0.004990642,0.02605667,0.00003274676],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980898,0.0001924364,0.000783667,0.001844971,0.000008247758,0.0001018007,0.00005523999,0.00000714008,0.01610858],"genre_scores_gemma":[0.9985628,0.00009870927,0.000233599,0.00005792639,0.000002073053,0.00001747677,0.00001656177,0.000003471396,0.001007473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08840996,"threshold_uncertainty_score":0.1757907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04249753880794514,"score_gpt":0.3134526953859854,"score_spread":0.2709551565780402,"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."}}