{"id":"W2991114711","doi":"10.15421/381915","title":"PECULIARITIES OF COMPARATIVE ANALYSIS OF THE ORIGINAL AND TRANSLATION OF E.SETON-THOMPSON’S SHORT STORY ‘THE ВIOGRAPHY OF A GRIZZLY’","year":2019,"lang":"en","type":"article","venue":"English and American Studies","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Style (visual arts); Context (archaeology); Feeling; Grammar; Linguistics; Literature; Translation studies; Identity (music); Plot (graphics); Source text; Perception; Relation (database); Embodied cognition; History; Art; Computer science; Aesthetics; Philosophy; Artificial intelligence; Epistemology","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":[0.002535613,0.0003655921,0.0004639041,0.004886648,0.005836305,0.004694908,0.0006983544,0.001073357,0.006349334],"category_scores_gemma":[0.01322616,0.0001979566,0.0002487008,0.006819693,0.007516893,0.002567637,0.002889755,0.001407176,0.0005737722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007794478,"about_ca_system_score_gemma":0.002567524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111409,"about_ca_topic_score_gemma":0.03545072,"domain_scores_codex":[0.994397,0.003010358,0.0003099867,0.0005400302,0.001404085,0.0003385261],"domain_scores_gemma":[0.9920443,0.005388628,0.0005299434,0.0004094333,0.001419768,0.0002079843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003281946,0.00004303696,0.002205825,0.0009625396,0.00003861342,0.004721815,0.8540317,0.00007966183,0.006410285,0.08617739,0.007434731,0.03756617],"study_design_scores_gemma":[0.00001567625,0.0001290379,0.03511779,0.001107887,0.00007225938,0.003873484,0.3825608,0.0001719385,0.006122604,0.00742934,0.5633355,0.00006367946],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.714072,0.01645535,0.004584745,0.004770159,0.001993431,0.0002085364,0.0009206756,0.00004134304,0.2569537],"genre_scores_gemma":[0.9754696,0.003921302,0.001739983,0.0003642615,0.0002710955,0.0001241094,0.000538028,0.0001118584,0.01745975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01111409,"threshold_uncertainty_score":0.05655318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04306980137705167,"score_gpt":0.2946190482653139,"score_spread":0.2515492468882622,"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."}}