{"id":"W7120376067","doi":"","title":"Translating a country: a study of the translation of cultural markers in Portuguese/English parallel corpora from texts about the Brazilian population census","year":2018,"lang":"pt","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population; Corpus linguistics; Text corpus","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":[0.009214558,0.0007031641,0.0006411796,0.004531642,0.003399495,0.004969559,0.0008783838,0.0007098849,0.005873157],"category_scores_gemma":[0.0647936,0.0007199727,0.0003855265,0.01111375,0.00232036,0.003642064,0.003697619,0.001693426,0.001740857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002594063,"about_ca_system_score_gemma":0.003646058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01537849,"about_ca_topic_score_gemma":0.02048422,"domain_scores_codex":[0.9908581,0.006014511,0.0008628396,0.0008540439,0.001172585,0.0002378219],"domain_scores_gemma":[0.9422646,0.03978784,0.004014708,0.004533348,0.008770642,0.000628829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004827928,0.0004797046,0.03974766,0.002306371,0.00008313357,0.002609642,0.6979605,0.0006639982,0.01577573,0.01187586,0.01092406,0.2170905],"study_design_scores_gemma":[0.0001347474,0.0004708876,0.1813418,0.001933826,0.0002602885,0.00410936,0.4706345,0.009157824,0.01679424,0.004896405,0.3100561,0.0002100738],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9189875,0.001910759,0.01528677,0.001686578,0.0004714762,0.0007978071,0.003399673,0.0002969845,0.05716237],"genre_scores_gemma":[0.9610642,0.002063002,0.02211973,0.0004187002,0.0001457728,0.0007586147,0.006399445,0.0009521605,0.006078553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01537849,"threshold_uncertainty_score":0.04873186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0351574304294144,"score_gpt":0.2658505768996479,"score_spread":0.2306931464702335,"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."}}