{"id":"W2202570498","doi":"10.3895/rbpd.v3n2.3580","title":"O crescimento econômico na faixa de fronteira de 2000 a 2010: o caso do Paraná","year":2015,"lang":"pt","type":"article","venue":"Revista Brasileira de Planejamento e Desenvolvimento","topic":"Urban Development and Societal Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Geography","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":[0.0005803718,0.000152699,0.0002203205,0.001294139,0.0006973998,0.001186103,0.0005039313,0.0002611956,0.002521334],"category_scores_gemma":[0.002198888,0.0002362468,0.0003558494,0.005033066,0.000716864,0.0008638827,0.00197284,0.0005672321,0.000221061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002600594,"about_ca_system_score_gemma":0.003889811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4490756,"about_ca_topic_score_gemma":0.62011,"domain_scores_codex":[0.9996087,0.00006179517,0.0000212019,0.00006633715,0.00009830933,0.0001436325],"domain_scores_gemma":[0.998834,0.0001884125,0.0003866603,0.0001220054,0.000256217,0.0002127972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009489215,0.00002870296,0.960743,0.0001263013,0.00006358217,0.0004719548,0.01442713,0.0002923913,0.000823037,0.001754994,0.001534216,0.0196398],"study_design_scores_gemma":[0.000001237942,0.00001443568,0.9832306,0.00003797935,0.00001189454,0.00008617141,0.01175513,0.0002222645,0.0000682055,0.000115179,0.004451735,0.000005061861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935075,0.0002245172,0.0001905309,0.0004411642,0.000006392272,0.00001509146,0.001565346,0.00000898271,0.004040403],"genre_scores_gemma":[0.9967825,0.0003722483,0.0003493185,0.00003423709,0.000002864149,0.00002558284,0.0007645551,0.000006080353,0.001662611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4490756,"threshold_uncertainty_score":0.8929234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07183521823583094,"score_gpt":0.3194991965110546,"score_spread":0.2476639782752236,"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."}}