{"id":"W1868343728","doi":"","title":"Translating Multilingual Texts: The Case of “Strictly Professional” in Killing Me Softly. Morir Amando by Francisco Ibáñez-Carrasco","year":2012,"lang":"en","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phenomenon; Representation (politics); Target text; Linguistics; Source text; Code (set theory); Register (sociolinguistics); Literary translation; Sociology; History; Computer science; Philosophy; Political science; Epistemology; Law; Programming language; Politics","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":[0.004266508,0.0006379754,0.0002924312,0.0008691322,0.02348774,0.006665496,0.001080786,0.002619226,0.004095959],"category_scores_gemma":[0.01074022,0.0003126382,0.0002399377,0.0009283128,0.0196251,0.003171486,0.005028882,0.005181153,0.0007313874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01243608,"about_ca_system_score_gemma":0.00904321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1031008,"about_ca_topic_score_gemma":0.1392058,"domain_scores_codex":[0.9951114,0.003266136,0.00008570887,0.0003098416,0.0007286815,0.0004981734],"domain_scores_gemma":[0.9952996,0.002439706,0.000344835,0.0003198567,0.0008504203,0.0007455639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003567202,0.00002844379,0.0006910065,0.00007908176,0.000004154988,0.002759929,0.9290143,0.00006287648,0.0006825696,0.04080212,0.0144025,0.01143735],"study_design_scores_gemma":[0.00001317023,0.00003888618,0.001514915,0.0002244246,0.000009555176,0.001498473,0.7186162,0.000281887,0.001290252,0.004268138,0.272214,0.00002998793],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5155294,0.005210263,0.00660905,0.1043183,0.001771417,0.0001559175,0.00008140201,0.0002420832,0.3660822],"genre_scores_gemma":[0.9549231,0.00120871,0.001543319,0.003096798,0.0001971348,0.00003601792,0.00002966129,0.0001846133,0.03878065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1031008,"threshold_uncertainty_score":0.2050013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236774353002824,"score_gpt":0.2850029580764026,"score_spread":0.2613255227761203,"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."}}