{"id":"W2905839001","doi":"","title":"BRAZIL, CANADA AND CHINA: A CROSS-COMPARE STUDY OF ITS EDUCATIONAL INDICATORS - Brasil, Canadá E China: Um Estudo Comparativo De Seus Indicadores Educacionais","year":2018,"lang":"pt","type":"article","venue":"Gestão org","topic":"Education and Public Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; China; Order (exchange); Regional science; Political science; Geography; Data collection; Descriptive statistics; Economic growth; Sociology; Business; Social science; Economics; Statistics; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008206097,0.0004305479,0.0005995077,0.0004668984,0.001781599,0.0002491385,0.000918513,0.0001863184,0.002271967],"category_scores_gemma":[0.0007335257,0.0004425314,0.00006481368,0.001828792,0.00106547,0.0003892644,0.0001985732,0.0005000852,0.00004685328],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007620635,"about_ca_system_score_gemma":0.02340622,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9519539,"about_ca_topic_score_gemma":0.9858654,"domain_scores_codex":[0.9959745,0.0005697835,0.0007491152,0.0006818249,0.001078076,0.0009466578],"domain_scores_gemma":[0.9972549,0.0002847125,0.0006623444,0.0004622574,0.0003271183,0.001008687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002435839,0.001043319,0.7571976,0.00004272399,0.0001353981,0.000002322176,0.1512227,0.000003729841,0.000007528913,0.001993584,0.08785876,0.0004679912],"study_design_scores_gemma":[0.0006372474,0.0002306682,0.9325776,0.0000535645,0.00005979337,0.00001083535,0.0331816,0.00001263722,0.00005656128,0.00007946921,0.03269764,0.0004023923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726313,0.0006397112,4.381787e-7,0.01744799,0.001993793,0.000775381,0.0002566233,0.00003257721,0.00622219],"genre_scores_gemma":[0.9899518,0.00007581453,0.00001697371,0.0009444954,0.001861708,0.00006411081,0.00004421554,0.00003600262,0.007004813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.17538,"threshold_uncertainty_score":0.9998026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658400204181586,"score_gpt":0.3826986091289249,"score_spread":0.356114607087109,"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."}}