{"id":"W6997063953","doi":"","title":"Translating Japanese Onomatopoeia into Finnish in Literature: A Case Study","year":2020,"lang":"en","type":"article","venue":"Dalarna University College Electronic Archive","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Onomatopoeia; Japanese language; Russian language; Quarter (Canadian coin); Sound symbolism","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001830731,0.0002246695,0.0003004479,0.0002364621,0.0002555551,0.00001993819,0.0002867388,0.00009372796,0.0002496349],"category_scores_gemma":[0.00002477568,0.000253574,0.0001204489,0.0009243201,0.00005964444,0.0001952815,0.00007569126,0.0007210529,0.000057999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479173,"about_ca_system_score_gemma":0.0001579604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001762065,"about_ca_topic_score_gemma":0.009279242,"domain_scores_codex":[0.997942,0.0005971224,0.0002093132,0.0005608848,0.0001493798,0.0005413129],"domain_scores_gemma":[0.9993438,0.000130583,0.00008589478,0.0002422145,0.00003672678,0.0001607933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001581695,0.001069042,0.004791379,0.00005492659,0.0004463421,0.07398977,0.8908252,0.0000156743,0.0004819896,0.02069618,0.0009485625,0.005099296],"study_design_scores_gemma":[0.01498252,0.003293749,0.004607667,0.00007849183,0.0003829636,0.002459057,0.9578933,0.002205119,0.00005385758,0.002257745,0.010657,0.001128483],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883904,0.0003979251,0.0004295406,0.0005359517,0.00007121644,0.0007717115,0.0001857171,0.00009774592,0.009119741],"genre_scores_gemma":[0.9985846,0.00001106662,0.0001259267,0.0002659303,0.00007981703,0.000006238035,0.00007061629,0.00002135978,0.000834448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07153071,"threshold_uncertainty_score":0.9999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009987247479716195,"score_gpt":0.2398079676937809,"score_spread":0.2298207202140647,"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."}}