{"id":"W1522067404","doi":"","title":"Gestão metropolitano no Canadá: um estudo de casos","year":2009,"lang":"pt","type":"article","venue":"Ensaios FEE","topic":"Urban Development and Societal Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Interdependence; Variety (cybernetics); Government (linguistics); Local government; Subject (documents); Focus (optics); Regional science; Geography; Political science; Sociology; Public administration; Library science; Computer science; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001120916,0.0007510755,0.0006795278,0.001997191,0.02379597,0.00465249,0.001662491,0.001559338,0.002279283],"category_scores_gemma":[0.004779049,0.0005966986,0.0003427771,0.00771635,0.009253012,0.001201571,0.004231987,0.002170839,0.0001953345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05308899,"about_ca_system_score_gemma":0.05211445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9746745,"about_ca_topic_score_gemma":0.9906591,"domain_scores_codex":[0.9981955,0.0003212533,0.0000590488,0.0001724549,0.0003757204,0.0008761291],"domain_scores_gemma":[0.998015,0.0005292388,0.000369415,0.00007995113,0.0003641213,0.0006422095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001223491,0.0003198326,0.1295602,0.0004960676,0.00002968644,0.0456157,0.7441388,0.0004749219,0.001134772,0.02320751,0.006555357,0.04834489],"study_design_scores_gemma":[0.00001259558,0.00008131487,0.05788556,0.0005388951,0.00004687134,0.01130867,0.8572051,0.0004567225,0.0005572683,0.001532671,0.0703058,0.00006857907],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754513,0.003284353,0.0004100611,0.00205726,0.00005047868,0.0001094661,0.0002110073,0.00002194848,0.01840411],"genre_scores_gemma":[0.9907343,0.004323778,0.0004584983,0.0003317596,0.00001901148,0.0000419021,0.000104277,0.00001828404,0.003968186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05308899,"threshold_uncertainty_score":0.3851894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891424173729302,"score_gpt":0.3073052204287076,"score_spread":0.2783909786914146,"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."}}