{"id":"W2927257835","doi":"10.1075/btl.146.08dav","title":"Technological convergence threatening translation","year":2019,"lang":"en","type":"book-chapter","venue":"Benjamins translation library","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Convergence (economics); Translation (biology); Computer science; Content (measure theory); Linguistics; Technological convergence; Advertising; Media studies; Sociology; Telecommunications; Business; Mathematics","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":[0.003060561,0.0008370058,0.0005601374,0.004558649,0.0104474,0.0159001,0.001063321,0.002114216,0.01821029],"category_scores_gemma":[0.00462544,0.000211908,0.0003168889,0.006471416,0.021967,0.006687268,0.005788613,0.002910819,0.003517372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02686194,"about_ca_system_score_gemma":0.01853745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1369828,"about_ca_topic_score_gemma":0.123924,"domain_scores_codex":[0.9944601,0.002168101,0.0001757399,0.0006724968,0.001689472,0.0008341787],"domain_scores_gemma":[0.9965214,0.001819852,0.0001703265,0.0004468445,0.0008293497,0.0002123197],"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":[0.00002304803,0.00001768622,0.0002835149,0.0002111158,0.000004577088,0.0004727996,0.05956154,0.000112281,0.0003487216,0.8592546,0.01406498,0.06564512],"study_design_scores_gemma":[0.000008931476,0.00002144332,0.001303443,0.0007110401,0.00001008471,0.0005012285,0.02963347,0.0002153338,0.000735528,0.06359481,0.9032524,0.0000122597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01060981,0.01698426,0.001626447,0.009032145,0.0004556016,0.0000257755,0.00005140404,0.00008345546,0.9611311],"genre_scores_gemma":[0.6403423,0.02564429,0.002625344,0.002601975,0.0007616891,0.00008150946,0.0001838651,0.0003079117,0.3274511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1369828,"threshold_uncertainty_score":0.2723709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09742413555787703,"score_gpt":0.2391864396734443,"score_spread":0.1417623041155672,"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."}}