{"id":"W3173267428","doi":"10.11606/t.2.2020.tde-16032021-003335","title":"A legislação antirracista brasileira e canadense: uma análise interseccional de raça e gênero","year":2020,"lang":"pt","type":"dissertation","venue":"","topic":"Race, Identity, and Education in Brazil","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008687833,0.0006824118,0.0007484207,0.0004195106,0.003120004,0.001097408,0.001401692,0.0008556761,0.01657667],"category_scores_gemma":[0.001192376,0.0007731976,0.0005026525,0.001274342,0.0006692352,0.0007775811,0.00009682534,0.001009923,0.001448322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009303497,"about_ca_system_score_gemma":0.00534383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08301268,"about_ca_topic_score_gemma":0.2406019,"domain_scores_codex":[0.9945816,0.000561052,0.001029474,0.001183919,0.001488053,0.001155908],"domain_scores_gemma":[0.9966758,0.0003478828,0.0007118442,0.0005166471,0.0006808087,0.001066976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001631957,0.000361279,0.03185839,0.0004798345,0.0002907733,0.00007666844,0.257336,0.00001200855,0.0002909066,0.01736909,0.6885855,0.003176379],"study_design_scores_gemma":[0.00123857,0.0002300471,0.1324269,0.0006116767,0.0006003889,0.00003269183,0.6299065,0.001231605,0.0002404069,0.002671597,0.2281052,0.002704406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5893087,0.00135952,0.001008883,0.01987449,0.0298522,0.00160154,0.000271947,0.0004785708,0.3562441],"genre_scores_gemma":[0.713645,0.0005262809,0.0002159154,0.001607916,0.001808813,0.00007116974,0.001029546,0.0000780823,0.2810173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4604803,"threshold_uncertainty_score":0.9999396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04218868437755974,"score_gpt":0.3580331853909443,"score_spread":0.3158445010133845,"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."}}