{"id":"W2506883553","doi":"10.21083/surg.v8i2.3218","title":"Winking, allusions, and anagrams: Translating character names in Harry Potter","year":2016,"lang":"en","type":"article","venue":"SURG Journal","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Character (mathematics); Computer science; Linguistics; Harry potter; Balance (ability); Literature; Variety (cybernetics); History; Psychology; Artificial intelligence; Art; Philosophy; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004321061,0.000097355,0.0001429046,0.00009523953,0.0003883599,0.0002301495,0.00005650251,0.00002687221,0.00223103],"category_scores_gemma":[0.000008876234,0.00005737044,0.00005332578,0.00001921182,0.00008906419,0.0007117394,0.00001265115,0.0001761071,0.00001972921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000987974,"about_ca_system_score_gemma":0.00001520993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000497907,"about_ca_topic_score_gemma":0.0010503,"domain_scores_codex":[0.9992123,0.00007891276,0.0002646333,0.0001071495,0.0001417467,0.0001953184],"domain_scores_gemma":[0.9995753,0.0001676161,0.0001152201,0.00005374456,0.00003688568,0.00005120734],"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":[0.00008344292,0.00004450044,0.08379357,0.00001906926,0.00008829874,0.00005718058,0.03831322,4.549586e-7,0.0004322587,0.004545091,0.00255251,0.8700704],"study_design_scores_gemma":[0.0006248483,0.00002752737,0.0133403,0.0001464474,0.00001442092,0.00003309736,0.001487113,0.000004940715,0.00000751468,0.001434534,0.9827568,0.0001224911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8786929,0.007850814,0.0002096255,0.04928872,0.001391208,0.0001495761,0.00003084641,0.00005231576,0.06233396],"genre_scores_gemma":[0.9958797,0.001595997,0.00009261663,0.000568602,0.0008898394,0.000001909306,8.068421e-7,0.00001119993,0.0009593554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9802043,"threshold_uncertainty_score":0.9986811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03354402984562371,"score_gpt":0.2437371486733741,"score_spread":0.2101931188277504,"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."}}