{"id":"W2995559145","doi":"10.22277/rgo.v12i4.4960","title":"CONTROLE EXTERNO E POLÍTICAS PÚBLICAS DE MOBILIDADE URBANA: O CASO DA REGIÃO METROPOLITANA DA GRANDE FLORIANÓPOLIS","year":2019,"lang":"pt","type":"article","venue":"Revista Gestão Organizacional","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.0008761074,0.0002599784,0.0002424103,0.00128207,0.00164137,0.003500936,0.000526068,0.0004677958,0.005824594],"category_scores_gemma":[0.00258,0.000155094,0.0002537283,0.003293344,0.001948429,0.0009528115,0.002094794,0.0004186089,0.0002654767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007337483,"about_ca_system_score_gemma":0.006912618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2446254,"about_ca_topic_score_gemma":0.3669287,"domain_scores_codex":[0.9992099,0.0002339824,0.00002086347,0.0001306401,0.000166624,0.0002379624],"domain_scores_gemma":[0.998693,0.0003651832,0.0003856803,0.00008496272,0.0002362206,0.0002348774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002585502,0.000150482,0.8149949,0.0004997719,0.0001767858,0.001475606,0.0479136,0.003618035,0.002956165,0.06766939,0.004433123,0.05585358],"study_design_scores_gemma":[0.00003369532,0.0001514479,0.8223598,0.0002970761,0.0001476194,0.0002725849,0.08840901,0.001539007,0.0007420309,0.00425011,0.08175878,0.00003880812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515029,0.001054211,0.0006453167,0.002322656,0.00001626386,0.00004641886,0.0003702948,0.00002199499,0.04402004],"genre_scores_gemma":[0.9968004,0.0003175435,0.0001397973,0.00004330355,0.000005536335,0.00001363582,0.00006252402,0.000003333706,0.002613693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2446254,"threshold_uncertainty_score":0.4864032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04524288713454516,"score_gpt":0.3348962705415751,"score_spread":0.2896533834070299,"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."}}