{"id":"W2808024013","doi":"","title":"차이나타운에 나타난 인종차별 :『잔월루』와 『중국인 거리』를 중심으로","year":2015,"lang":"ko","type":"article","venue":"동서비교문학저널","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chinatown; Context (archaeology); Perspective (graphical); History; Chinese americans; Art; Immigration; Visual arts; Archaeology","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":[0.0008847104,0.0004051682,0.0001572373,0.0005939453,0.01154086,0.005034515,0.0004935182,0.000991105,0.005100007],"category_scores_gemma":[0.001192057,0.0001778328,0.0001814671,0.000660135,0.008906765,0.002731959,0.001884894,0.002664452,0.0005977172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002812811,"about_ca_system_score_gemma":0.002401426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03343005,"about_ca_topic_score_gemma":0.1018759,"domain_scores_codex":[0.9995542,0.0001598234,0.000009389418,0.00005085426,0.00007756952,0.0001480636],"domain_scores_gemma":[0.9992964,0.0002094216,0.00009664446,0.00003606662,0.0001251263,0.000236336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000173246,0.00004714093,0.006826201,0.0001309253,0.00001887374,0.001469704,0.817418,0.00008036398,0.001821153,0.1052285,0.0518426,0.0149433],"study_design_scores_gemma":[0.00001551994,0.00003915684,0.009043098,0.00009925115,0.00001451781,0.0005192604,0.6785625,0.0001435132,0.001114608,0.003554287,0.3068619,0.00003240327],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5259184,0.002764914,0.00140337,0.06641328,0.002988368,0.0000453922,0.0002299257,0.00006907582,0.4001673],"genre_scores_gemma":[0.933915,0.0007145664,0.0003207846,0.002838585,0.0001986417,0.0000185231,0.00004231315,0.00004086658,0.06191083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03343005,"threshold_uncertainty_score":0.06647092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07171222944661622,"score_gpt":0.3416051893341499,"score_spread":0.2698929598875336,"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."}}