{"id":"W2922940826","doi":"10.5935/0034-7140.20190008","title":"Revisitando a Mobilidade Intergeracional de Educação no Brasil","year":2019,"lang":"pt","type":"article","venue":"Revista Brasileira de Economia","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","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":["insufficient_payload"],"category_scores_codex":[0.002417876,0.0004419579,0.0007496803,0.0001697399,0.0008993702,0.00052986,0.0007610201,0.0002171115,0.01039151],"category_scores_gemma":[0.0005646478,0.0004965504,0.0005279927,0.0002940758,0.0001776079,0.0004381415,0.0002682177,0.0005546417,0.007662921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002225642,"about_ca_system_score_gemma":0.002451085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005212601,"about_ca_topic_score_gemma":0.0001992963,"domain_scores_codex":[0.9960366,0.0008211961,0.001018698,0.000804416,0.0003827816,0.0009362847],"domain_scores_gemma":[0.9975739,0.000695974,0.0004926402,0.0004622806,0.000388995,0.0003862055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002128388,0.0005155575,0.477194,0.0005027781,0.0004518948,0.000006398,0.01750875,0.0004810349,0.0005597111,0.1464146,0.3557449,0.0004076003],"study_design_scores_gemma":[0.001450201,0.000598284,0.2965402,0.001132521,0.0002630305,0.00009003917,0.03320628,0.003754946,0.0001287945,0.001351998,0.6591027,0.002380961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721825,0.002437625,0.00006423573,0.004763701,0.003235391,0.0007311755,0.0002699171,0.00005796518,0.01625746],"genre_scores_gemma":[0.8865405,0.0001687748,0.0002060226,0.003634833,0.003331461,0.0001515253,0.00009250719,0.00004634215,0.105828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3033579,"threshold_uncertainty_score":0.9997486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0410384668379645,"score_gpt":0.3357144039612198,"score_spread":0.2946759371232553,"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."}}