{"id":"W4366829342","doi":"10.5430/wjel.v13n5p412","title":"Comprehension of English Loanwords in Japanese by Japanese and English Speakers","year":2023,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"English Language Learning and Teaching","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Meaning (existential); Vocabulary; Loanword; Comprehension; Psychology; English vocabulary; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007966384,0.0003305514,0.0003608784,0.0004292741,0.0005292943,0.00105568,0.0001730197,0.0003433522,0.001805307],"category_scores_gemma":[0.003800004,0.0001971961,0.0002856473,0.0002605263,0.0005640865,0.001160245,0.001112117,0.0003854296,0.0003507872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002354481,"about_ca_system_score_gemma":0.0003496554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005064199,"about_ca_topic_score_gemma":0.006920377,"domain_scores_codex":[0.99951,0.0001133297,0.00007336201,0.00008321118,0.0001315717,0.00008844954],"domain_scores_gemma":[0.998605,0.0004900264,0.0003310116,0.00007191047,0.0003057529,0.0001963683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000473552,0.0002860421,0.3928349,0.0002422993,0.00005442735,0.001448272,0.5346074,0.00007592491,0.03696065,0.0003519131,0.0004298595,0.0322349],"study_design_scores_gemma":[0.00002572042,0.0009488077,0.6524666,0.00009569649,0.0001011643,0.001888789,0.3349403,0.0005706041,0.003643609,0.0003431923,0.004909823,0.00006570835],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994648,0.00005172042,0.00005258361,0.00001618095,0.000001869011,0.000003441265,0.000006015764,7.790529e-7,0.000402541],"genre_scores_gemma":[0.9984189,0.0001710537,0.0001319095,0.00004754324,0.000003941362,0.0000103347,0.00002775389,0.000002986304,0.001185549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005064199,"threshold_uncertainty_score":0.01006943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007378804506474074,"score_gpt":0.2382190790854552,"score_spread":0.2308402745789811,"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."}}