{"id":"W3081096994","doi":"10.3968/11692","title":"Prefaces to Translations: A Microhistory of Translation","year":2020,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microhistory; Translation (biology); Linguistics; Literature; Computer science; History; Art; Philosophy; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.007077712,0.0004343702,0.0004253397,0.003210634,0.01105134,0.01192159,0.001108696,0.001733017,0.01832549],"category_scores_gemma":[0.02148602,0.0005799082,0.0003164981,0.004712345,0.0195746,0.01970538,0.007317224,0.005602811,0.002646639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00556686,"about_ca_system_score_gemma":0.004825689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005683252,"about_ca_topic_score_gemma":0.01145475,"domain_scores_codex":[0.9935499,0.003784024,0.0004160953,0.0008031016,0.001014094,0.0004328701],"domain_scores_gemma":[0.9851783,0.008245177,0.0008194624,0.002734124,0.001942419,0.00108048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000108179,0.00003271957,0.002581658,0.0003216661,0.00001314277,0.001057772,0.4168972,0.000127803,0.0007338324,0.4638882,0.02104161,0.09319621],"study_design_scores_gemma":[0.000009668075,0.00008710616,0.005980223,0.001109597,0.00001205246,0.001006566,0.0916495,0.0001939309,0.0006480071,0.07581713,0.8234513,0.00003483155],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.136629,0.02102282,0.02549597,0.02813729,0.004143105,0.0002969485,0.0005560065,0.0004665245,0.7832523],"genre_scores_gemma":[0.8776517,0.006818623,0.009160515,0.002686096,0.001136591,0.0001567306,0.0003906952,0.0005486845,0.1014502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01832549,"threshold_uncertainty_score":0.06130481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1287313823043679,"score_gpt":0.3492459185577662,"score_spread":0.2205145362533983,"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."}}