{"id":"W2070096163","doi":"10.7202/1023818ar","title":"Investigating the Complementary Polysemy and the Arabic Translations of the Noun Destruction in EAPCOUNT","year":2014,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polysemy; Linguistics; Computer science; Lexicon; Noun; Lexical semantics; Semantics (computer science); Natural language processing; Generative grammar; Arabic; Intersection (aeronautics); Artificial intelligence; Lexical item; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001225679,0.00009771186,0.0001841557,0.00004019392,0.001202629,0.000184292,0.000168595,0.00001144354,0.000123825],"category_scores_gemma":[0.00003933082,0.00003973964,0.0001277641,0.00007994266,0.001104072,0.0003167442,0.00001099777,0.0002858677,6.627243e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007450853,"about_ca_system_score_gemma":0.00001363148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005929195,"about_ca_topic_score_gemma":0.004999775,"domain_scores_codex":[0.9986791,0.0005607409,0.0003578053,0.00007769802,0.0002035818,0.0001210981],"domain_scores_gemma":[0.9989997,0.0005731591,0.0002387497,0.0001135674,0.00005252143,0.00002236364],"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":[0.00009026368,0.00006220697,0.01706853,0.0000690114,0.001235235,4.159029e-7,0.1156529,0.0005408031,0.0003611286,0.5770618,0.0003704499,0.2874873],"study_design_scores_gemma":[0.002268567,0.00007682132,0.08401289,0.00007574152,0.001742923,0.0001186801,0.009023979,0.001024374,0.0000870085,0.1873959,0.7139727,0.0002004458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.922998,0.03507378,0.0008125014,0.03599283,0.0007971007,0.0003790797,0.000022322,0.00001243748,0.003911954],"genre_scores_gemma":[0.9969304,0.002070321,0.0002778737,0.0004250999,0.0002357719,0.000007480584,7.661852e-7,0.000007536557,0.00004472931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7136022,"threshold_uncertainty_score":0.9249772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07574926722317128,"score_gpt":0.2705652128879484,"score_spread":0.1948159456647772,"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."}}