{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00632248,0.0002610355,0.0004807656,0.004414864,0.006767767,0.005349603,0.0008692464,0.0007686407,0.006774353],"category_scores_gemma":[0.01482442,0.0003085692,0.0003027384,0.01028823,0.006414364,0.002040853,0.002855047,0.001150239,0.0003053693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0304802,"about_ca_system_score_gemma":0.07010773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8938032,"about_ca_topic_score_gemma":0.9584699,"domain_scores_codex":[0.993626,0.001273339,0.0002503754,0.0008270899,0.002992497,0.001030633],"domain_scores_gemma":[0.9856372,0.00533713,0.001543992,0.001149871,0.005303625,0.001028089],"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":[0.0001170006,0.00007500347,0.3039839,0.001298364,0.0001053652,0.000687018,0.2682233,0.000479783,0.002012678,0.25255,0.02129359,0.149174],"study_design_scores_gemma":[0.000009123054,0.00005767091,0.4419633,0.001258303,0.00007363199,0.0001842747,0.1296655,0.0002850622,0.0005075217,0.004137224,0.4217891,0.00006931375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5392184,0.009495679,0.002460957,0.01868879,0.0002478269,0.0004911087,0.003912092,0.00007569669,0.4254095],"genre_scores_gemma":[0.9623619,0.004524468,0.002561322,0.001452395,0.00003551233,0.0001898491,0.000768189,0.00002855233,0.02807775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1061968,"threshold_uncertainty_score":0.2211504,"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."}}