{"id":"W3040298493","doi":"10.5935/0034-7140.20200018","title":"Efeitos de Tamanho da Sala no Desempenho dos Alunos: Evidências Usando Regressões Descontínuas no Brasil","year":2020,"lang":"pt","type":"article","venue":"Revista Brasileira de Economia","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics","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":[0.002053049,0.0002373943,0.0004343503,0.0009292053,0.0005612302,0.00166273,0.0005086501,0.0005035671,0.002046115],"category_scores_gemma":[0.0104812,0.0001897295,0.0004743729,0.001802386,0.001156076,0.000628444,0.0007690313,0.0005551369,0.0001920967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167084,"about_ca_system_score_gemma":0.001354593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.129371,"about_ca_topic_score_gemma":0.1423645,"domain_scores_codex":[0.9991543,0.0003695174,0.00004921047,0.0001439678,0.0001654124,0.0001175854],"domain_scores_gemma":[0.9906141,0.005536214,0.00205676,0.0005492541,0.0008098509,0.0004338151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008404015,0.0001547179,0.9428577,0.0003259987,0.0003252257,0.00025667,0.004376958,0.00449635,0.001568594,0.006572538,0.0006119767,0.03761284],"study_design_scores_gemma":[0.00003829896,0.0003677635,0.967798,0.0002040354,0.0005107863,0.0001031892,0.008568333,0.007146378,0.00133243,0.006056336,0.007842449,0.0000320056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929528,0.001367807,0.0005798581,0.0005758012,0.00001029683,0.00001753863,0.0002981556,0.000007944775,0.00418978],"genre_scores_gemma":[0.9987929,0.0003867622,0.0001824573,0.00002814267,0.00000402864,0.000005512363,0.00006158814,0.000001755793,0.0005367763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.129371,"threshold_uncertainty_score":0.257236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05463530532339738,"score_gpt":0.2582520463137661,"score_spread":0.2036167409903687,"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."}}