{"id":"W4247991623","doi":"10.1075/tis.00036.int","title":"Introduction","year":2019,"lang":"en","type":"article","venue":"Translation and Interpreting Studies","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002364519,0.00004862956,0.00009534223,0.00002325836,0.0002169173,0.00001545717,0.00002430782,0.00002417532,0.00009102627],"category_scores_gemma":[0.0001153281,0.00003957843,0.00002089333,0.00006313232,0.0001290716,0.0001140778,0.000007314231,0.00004833655,0.00004512164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001411748,"about_ca_system_score_gemma":0.000007508591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002012228,"about_ca_topic_score_gemma":0.0001472506,"domain_scores_codex":[0.9995682,0.00004651204,0.00008408522,0.0001134937,0.0000899022,0.00009784107],"domain_scores_gemma":[0.9997926,0.00007626476,0.00002488251,0.00003442728,0.00005277912,0.0000190445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003275709,0.00001365707,0.01252154,0.00005541484,0.0001367247,3.615716e-7,0.7539792,0.000002309159,0.0005812118,0.02611587,0.01905384,0.1875071],"study_design_scores_gemma":[0.0001651342,0.00004011717,0.0009661071,0.00005004792,0.00001975344,3.992629e-7,0.1477464,0.00002639009,0.00008178646,0.0006024503,0.8502012,0.0001002092],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2822337,0.02558816,0.0004149735,0.1156464,0.003307124,0.0006360516,0.000001959534,0.0003084567,0.5718632],"genre_scores_gemma":[0.9936147,0.001724377,0.0003010365,0.0001976061,0.0004127359,0.000005369643,7.764759e-7,0.000002963394,0.003740388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8311474,"threshold_uncertainty_score":0.1668374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03115563871683059,"score_gpt":0.3469844483937178,"score_spread":0.3158288096768873,"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."}}