{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002100791,0.0002740549,0.0004711809,0.00378057,0.002016544,0.001677832,0.0004901168,0.0002662874,0.001130167],"category_scores_gemma":[0.006352759,0.0001307569,0.0003301531,0.01017318,0.001272044,0.0005624809,0.001252018,0.0003660259,0.00008312559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0191247,"about_ca_system_score_gemma":0.04346642,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9713312,"about_ca_topic_score_gemma":0.9825093,"domain_scores_codex":[0.9982687,0.0002110507,0.0000867856,0.0001503933,0.0007992315,0.0004838301],"domain_scores_gemma":[0.9961901,0.0006942191,0.0005610434,0.0001470055,0.001890085,0.0005175531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006201892,0.00005881922,0.9564527,0.0001434824,0.0001098376,0.0001743964,0.007635904,0.0002570027,0.0002662867,0.004251143,0.001178851,0.02940946],"study_design_scores_gemma":[0.000003175333,0.00002348127,0.9815238,0.00007998878,0.00004063779,0.00003879882,0.01212284,0.0002440726,0.0001979413,0.0001269641,0.005583004,0.00001528995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862429,0.001208893,0.0001459746,0.0006454532,0.00001246641,0.00005356302,0.00124384,0.000009393967,0.01043759],"genre_scores_gemma":[0.9972935,0.0006687703,0.0002342644,0.00004640185,0.000002868406,0.00001813731,0.0006383213,0.000004200808,0.001093466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02866876,"threshold_uncertainty_score":0.1387601,"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."}}