{"id":"W2939258485","doi":"10.1590/2236-9996.2019-4407","title":"Caminhos e descaminhos da macrometrópole paulista: dinâmica econômica, condicionantes externos e perspectivas","year":2019,"lang":"pt","type":"article","venue":"Cadernos Metrópole","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001611165,0.001363713,0.002632331,0.00175826,0.0005511625,0.0007586727,0.001922063,0.001097692,0.02285231],"category_scores_gemma":[0.0005959728,0.001708035,0.001135435,0.001201043,0.0006674757,0.001151902,0.0006479666,0.001488886,0.04872086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286131,"about_ca_system_score_gemma":0.0002727776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001930373,"about_ca_topic_score_gemma":0.0001313083,"domain_scores_codex":[0.9920848,0.0002447688,0.002632186,0.002682213,0.0001518933,0.002204144],"domain_scores_gemma":[0.9938352,0.0008999468,0.001824073,0.002420695,0.0001389975,0.0008811307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003182631,0.001090972,0.3803222,0.0008706005,0.001671412,0.00009278155,0.009792387,0.00009930156,0.002645982,0.5789393,0.02074323,0.003413547],"study_design_scores_gemma":[0.01665728,0.003176776,0.1373436,0.001251674,0.0006600864,0.0004956911,0.03075245,0.00740574,0.01729671,0.08834289,0.6852775,0.01133966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8962783,0.02089706,0.0004262842,0.001592118,0.00490464,0.001634659,0.003609217,0.0002070129,0.07045067],"genre_scores_gemma":[0.8753522,0.001043818,0.0001365697,0.001582312,0.001092417,0.00008815579,0.0001581154,0.00030263,0.1202438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6645342,"threshold_uncertainty_score":0.9999114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664118072953644,"score_gpt":0.2427666748593409,"score_spread":0.2161254941298045,"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."}}