{"id":"W2517393733","doi":"10.1075/btl.126.10gia","title":"Computer science and translation","year":2016,"lang":"en","type":"book-chapter","venue":"Benjamins translation library","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Translation (biology); Computer science; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001399005,0.001003245,0.0007593214,0.003018892,0.002286679,0.006776372,0.001114117,0.002725511,0.02174929],"category_scores_gemma":[0.004933704,0.0004132176,0.000585548,0.004148337,0.009902503,0.008796861,0.00247037,0.00440211,0.01129817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004127934,"about_ca_system_score_gemma":0.002294549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001850414,"about_ca_topic_score_gemma":0.001315688,"domain_scores_codex":[0.9978971,0.0008340871,0.0001499862,0.0003757464,0.0006145476,0.000128444],"domain_scores_gemma":[0.9975599,0.001707356,0.00007060615,0.0003760639,0.0002349806,0.00005104618],"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":[0.000007470929,0.000008273777,0.00003069991,0.0003197982,0.000007433957,0.00005766925,0.0007842084,0.0002820544,0.0001678811,0.8760501,0.05649764,0.06578685],"study_design_scores_gemma":[0.000004197499,0.000006702673,0.00006394665,0.000250667,0.000002536528,0.000131639,0.0001662931,0.0002567064,0.0001922384,0.38659,0.6123274,0.000007740656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001692415,0.1785332,0.05392002,0.03312921,0.00830426,0.00008903292,0.0002239045,0.0006721202,0.7234359],"genre_scores_gemma":[0.1142669,0.277499,0.05961321,0.01851229,0.0123774,0.0006116575,0.0009965779,0.001435273,0.5146878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02174929,"threshold_uncertainty_score":0.07275862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134944033571324,"score_gpt":0.2341395288439328,"score_spread":0.2127900885082196,"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."}}