{"id":"W7030034979","doi":"","title":"LUCY MAUD MONTGOMERY’NİN “YEŞİL’İN KIZI” ADLI KİTABININ YAZIN ÇEVİRİSİ VE MAKİNE ÇEVİRİSİ ÇERÇEVESİNDE KARŞILAŞTIRMALI İNCELENMESİ","year":2021,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machine translation; Literary translation; Translation (biology); Human–machine system; Machine translation software usability; Computer-assisted translation","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":[0.0008926488,0.0006314339,0.0003657387,0.0009160292,0.008109199,0.004520365,0.0004820861,0.001125357,0.01085189],"category_scores_gemma":[0.002623098,0.0001983746,0.0002682533,0.0008762743,0.003702661,0.00178856,0.001522869,0.002503277,0.003558801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009583338,"about_ca_system_score_gemma":0.009162209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1607093,"about_ca_topic_score_gemma":0.2939171,"domain_scores_codex":[0.9992301,0.0001764884,0.00002118264,0.0001058624,0.0003332037,0.0001331855],"domain_scores_gemma":[0.999301,0.0001487796,0.00006429796,0.00004172647,0.0003395791,0.000104574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006419268,0.0001262766,0.01121437,0.001319652,0.00006751231,0.004979406,0.1828036,0.0006133161,0.01063026,0.1981754,0.325327,0.2641014],"study_design_scores_gemma":[0.00001101235,0.00003387586,0.006721928,0.0002936887,0.00002041043,0.001187355,0.02362008,0.0002413565,0.002905869,0.00211597,0.9628072,0.00004116035],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2586102,0.05796615,0.005192414,0.09781981,0.008159048,0.0002325366,0.0005327393,0.0006288262,0.5708583],"genre_scores_gemma":[0.648593,0.01702166,0.004192831,0.005622069,0.000692233,0.00008285548,0.000316068,0.0002847952,0.3231945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1607093,"threshold_uncertainty_score":0.3195478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03354739743507674,"score_gpt":0.2194843300047012,"score_spread":0.1859369325696244,"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."}}