{"id":"W4391299434","doi":"","title":"ESCREVER ENTRE AS LÍNGUAS: TRADUÇÃO E GÊNERO EM NANCY HUSTON","year":2017,"lang":"pt","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001546422,0.0002825266,0.0001865327,0.0006454019,0.006939789,0.00330607,0.0005059258,0.001236111,0.00530705],"category_scores_gemma":[0.001901342,0.0001336841,0.00009267795,0.0008174598,0.0102072,0.003337874,0.002009961,0.002095373,0.0004277586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006621478,"about_ca_system_score_gemma":0.00218086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0335537,"about_ca_topic_score_gemma":0.08044256,"domain_scores_codex":[0.9990507,0.0005750229,0.00001922405,0.000100503,0.0001415548,0.0001129714],"domain_scores_gemma":[0.9992201,0.0004579374,0.00006047665,0.00004954268,0.0001315962,0.00008026377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008093056,0.0000144235,0.00236344,0.00009555669,0.000003914601,0.001010586,0.562816,0.00009637837,0.001165443,0.3907365,0.01995547,0.02166126],"study_design_scores_gemma":[0.000007991356,0.00003789647,0.006995193,0.0002058597,0.000007404765,0.0005066596,0.282795,0.0003138492,0.001170531,0.02411657,0.6837943,0.00004877572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5363096,0.008196889,0.001647503,0.05863062,0.001129354,0.00003617118,0.00007958832,0.00005052047,0.3939198],"genre_scores_gemma":[0.8805,0.00143911,0.0006275542,0.002535642,0.0001271587,0.0000220328,0.00002523064,0.00005929917,0.114664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0335537,"threshold_uncertainty_score":0.06671679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3991896009307069,"score_gpt":0.5651241857235675,"score_spread":0.1659345847928606,"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."}}