{"id":"W2114649979","doi":"10.7202/1023817ar","title":"A Corpus-based Approach to the Compilation, Analysis, and Translation of Rural Tourism Terms","year":2014,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Accommodation; Translation (biology); Rural tourism; Computer science; Linguistics; Natural language processing; Parallel corpora; Artificial intelligence; Machine translation; Political science; Tourism geography; Psychology","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":[0.006522824,0.0005909692,0.0006489915,0.0143914,0.003371664,0.003713957,0.001214896,0.0007547904,0.007180607],"category_scores_gemma":[0.02204514,0.0004247064,0.00041691,0.01748612,0.002260193,0.00291363,0.002651241,0.001433493,0.001422643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00258977,"about_ca_system_score_gemma":0.00595817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009211485,"about_ca_topic_score_gemma":0.01382389,"domain_scores_codex":[0.9938262,0.003700286,0.0007455807,0.0007197041,0.000898549,0.0001097755],"domain_scores_gemma":[0.976448,0.01463798,0.001002361,0.002395859,0.00529237,0.0002235254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005050038,0.0006088036,0.01342492,0.0071051,0.0002112367,0.002924591,0.08770097,0.005204057,0.05349615,0.08835382,0.03274344,0.7077218],"study_design_scores_gemma":[0.0002324657,0.0006996663,0.04294633,0.003628605,0.0003839893,0.003416123,0.08145284,0.01895771,0.02864899,0.03144443,0.7878969,0.0002920381],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2759674,0.00992785,0.5599819,0.003935229,0.001421346,0.009604232,0.02848528,0.001726462,0.1089504],"genre_scores_gemma":[0.3154745,0.003589182,0.6443693,0.0003758835,0.0002957821,0.006435119,0.01958571,0.000770267,0.009104116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0143914,"threshold_uncertainty_score":0.03449637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05779836295914811,"score_gpt":0.2487304193223981,"score_spread":0.19093205636325,"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."}}