{"id":"W2044515014","doi":"10.7202/003880ar","title":"Translation as a Transaction Cost","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Translation (biology); Transaction cost; Computer science; Context (archaeology); Order (exchange); Database transaction; Artificial intelligence; Microeconomics; Business; Economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002947584,0.0001623757,0.0002368451,0.0001168874,0.0008890067,0.000431492,0.0001016775,0.00003141584,0.01900199],"category_scores_gemma":[0.000008402018,0.0001226007,0.0002949463,0.00006794235,0.0001792402,0.001240303,0.000001244276,0.0002952538,0.0002538381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001801639,"about_ca_system_score_gemma":0.000006573728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005060758,"about_ca_topic_score_gemma":0.0003670819,"domain_scores_codex":[0.9988867,0.0001426243,0.0003263131,0.0001411283,0.0002793098,0.0002239469],"domain_scores_gemma":[0.9994596,0.000120293,0.0001367471,0.00008762721,0.00009478394,0.0001009827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004501383,0.0000982842,0.00001630697,0.00001628148,0.0007331148,0.00001123062,0.01145507,0.00005310429,0.00009889501,0.00638354,0.001324986,0.9797642],"study_design_scores_gemma":[0.0005013578,0.0001098412,0.00005935255,0.000009025498,0.0008957752,0.0001564201,0.0004872576,0.000116633,0.00007473218,0.004172937,0.9932622,0.0001544197],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03992753,0.5340437,0.02805104,0.02093478,0.005293481,0.0009006145,0.00008066375,0.0003690262,0.3703991],"genre_scores_gemma":[0.8836282,0.1050896,0.0009152055,0.0006290628,0.001505439,0.0000285563,0.000005430065,0.00005108965,0.008147374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9919373,"threshold_uncertainty_score":0.9818948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1559784003035443,"score_gpt":0.2892028427540261,"score_spread":0.1332244424504819,"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."}}