{"id":"W2990915527","doi":"","title":"중국인 학습자의 한국어 숙련도에 따른 한국어 파열음과 파찰음의 변별 지각 양상","year":2016,"lang":"ko","type":"article","venue":"한국어 교육","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mandarin Chinese; Contrast (vision); Psychology; Perception; Second language; Linguistics; Korean Native; First language; Language proficiency; Computer science; Artificial intelligence","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":[0.0005574822,0.0001910507,0.0001410229,0.0003004418,0.0002248852,0.0004280652,0.0001140718,0.0002198682,0.001487015],"category_scores_gemma":[0.002779323,0.00013798,0.0001268336,0.0001256601,0.0003072757,0.0003370328,0.0002238541,0.0002243299,0.000490801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279242,"about_ca_system_score_gemma":0.0001088886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002135081,"about_ca_topic_score_gemma":0.003251215,"domain_scores_codex":[0.9997495,0.0000342955,0.00002730528,0.0000661263,0.00009190898,0.00003092386],"domain_scores_gemma":[0.9982833,0.0005599284,0.0005001212,0.0001509661,0.0003902816,0.0001152971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009897652,0.000155542,0.766304,0.00005782087,0.0001022325,0.0003096303,0.007352369,0.0001203138,0.2007567,0.0001135342,0.0001178753,0.02362034],"study_design_scores_gemma":[0.000005027336,0.0002655055,0.9915259,0.000002440695,0.00001321374,0.0003767862,0.0009286149,0.0001795144,0.006470205,0.00003822643,0.0001847321,0.000009889792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996328,0.00001467402,0.00009285781,0.000003855958,9.014862e-7,0.000001547281,0.00001042302,0.000001987937,0.0002407839],"genre_scores_gemma":[0.9994879,0.00001855909,0.0001519255,0.000006093798,0.000001392381,0.000002047511,0.00004020377,0.000001400436,0.0002903929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002135081,"threshold_uncertainty_score":0.004974544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04917576284257376,"score_gpt":0.3817094421872131,"score_spread":0.3325336793446393,"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."}}