{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001653785,0.0008542528,0.0005300427,0.003939624,0.007589192,0.002381338,0.0009833786,0.00192974,0.002561312],"category_scores_gemma":[0.008160582,0.000434044,0.0005054419,0.004305616,0.002862502,0.002135096,0.002194584,0.0009581324,0.0005574524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002482787,"about_ca_system_score_gemma":0.002160826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009980346,"about_ca_topic_score_gemma":0.0261187,"domain_scores_codex":[0.9983601,0.0007285183,0.0001988947,0.0001498853,0.0003003164,0.0002623701],"domain_scores_gemma":[0.9972469,0.001549945,0.0004230369,0.0001657577,0.0003581984,0.0002562946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009714846,0.0004581318,0.01800377,0.0004812595,0.00002340726,0.1237772,0.8164791,0.000150721,0.003575086,0.003566488,0.001529246,0.03185841],"study_design_scores_gemma":[0.00001958596,0.0002663203,0.03214855,0.0004224936,0.00007978432,0.08376337,0.8280024,0.000605318,0.003755649,0.0008193713,0.0500501,0.00006705007],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924929,0.0005858665,0.0005520642,0.000368999,0.00003679079,0.0000482393,0.0000362668,0.000009743802,0.005869057],"genre_scores_gemma":[0.9913265,0.001883512,0.002251538,0.0002202231,0.00004908722,0.00005952239,0.00008101671,0.00003015568,0.00409842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009980346,"threshold_uncertainty_score":0.01984453,"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."}}