{"id":"W2180531294","doi":"10.3765/bls.v31i1.856","title":"A Cognitive Approach to Mimetic Aspect in Japanese","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Annual Meeting of the Berkeley Linguistics Society","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Cognition; Psychology; Cognitive science; Neuroscience","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001719892,0.0002327487,0.0004060497,0.0000567134,0.0001521663,0.00002578783,0.0008140146,0.0001712594,0.000009631051],"category_scores_gemma":[0.01051775,0.0001544506,0.0003946865,0.0007028443,0.0002679141,0.00002673979,0.0003511622,0.0004088545,0.000008807985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004281649,"about_ca_system_score_gemma":0.0000285793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004012898,"about_ca_topic_score_gemma":0.000007131805,"domain_scores_codex":[0.9981471,0.00008133318,0.0005304356,0.0003936581,0.0004463624,0.0004011122],"domain_scores_gemma":[0.9974772,0.0003966864,0.000524968,0.0002343455,0.001296061,0.00007076291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009151595,0.003484199,0.08471758,0.002202164,0.001258241,9.65172e-7,0.7627913,0.00009534283,0.01550425,0.09924988,0.02645491,0.003325974],"study_design_scores_gemma":[0.009384206,0.001545219,0.1884985,0.006483601,0.003088549,0.00007048745,0.630272,0.00206945,0.08381442,0.06518349,0.006696286,0.002893728],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7708192,0.0001214754,0.00002132328,0.0001336795,0.0006693902,0.000533787,0.00004191628,0.00003331468,0.227626],"genre_scores_gemma":[0.9961215,0.00000396625,0.00189186,0.0004434271,0.0005678828,0.00004443828,0.000002255055,0.00003888816,0.0008858445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2267401,"threshold_uncertainty_score":0.9978171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659275039432608,"score_gpt":0.2772104575422536,"score_spread":0.2606177071479275,"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."}}