{"id":"W4288443341","doi":"10.1075/target.20160.dav","title":"Translational phenomena in the news","year":2022,"lang":"en","type":"article","venue":"Target International Journal of Translation Studies","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Translation (biology); Typology; Translation studies; Linguistics; Centrality; Dynamic and formal equivalence; Computer science; Sociology; Natural language processing; Machine translation; Philosophy; Mathematics; Biology; Anthropology","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":[0.01033999,0.0006740472,0.0006331975,0.005038044,0.006232298,0.01427477,0.0009500368,0.00243934,0.01346225],"category_scores_gemma":[0.0352126,0.0003069426,0.0005048662,0.009368999,0.03066371,0.01099612,0.006838383,0.003541643,0.001402963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00446712,"about_ca_system_score_gemma":0.002097501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001253302,"about_ca_topic_score_gemma":0.001002215,"domain_scores_codex":[0.9814879,0.01384401,0.0007609079,0.001119745,0.002085973,0.0007016186],"domain_scores_gemma":[0.943644,0.04434127,0.003618504,0.005426161,0.002188893,0.0007812208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001299846,0.00008204879,0.006157734,0.0008140384,0.00003054761,0.001264047,0.442491,0.0002074508,0.001009826,0.5134895,0.004292112,0.03003176],"study_design_scores_gemma":[0.0001005363,0.0002319823,0.01784839,0.002414746,0.00008223532,0.002304429,0.461061,0.001196852,0.002425624,0.2382839,0.2739797,0.00007054705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3596137,0.006885211,0.02377901,0.02318368,0.001199741,0.0002576119,0.0007987993,0.0002005097,0.5840818],"genre_scores_gemma":[0.9903083,0.0009579106,0.001887903,0.0006551436,0.0004287041,0.0001193005,0.0002129373,0.00007456093,0.005355163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01427477,"threshold_uncertainty_score":0.05468374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1302691930514964,"score_gpt":0.3438349562513033,"score_spread":0.213565763199807,"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."}}