{"id":"W2617184100","doi":"","title":"국가간 다문화정책 비교연구","year":2016,"lang":"ko","type":"article","venue":"한국인간복지실천연구","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiculturalism; Political science; Pluralism (philosophy); Government (linguistics); Cultural assimilation; Cultural diversity; Globalization; China; Sociology; Ethnic group; Economic growth; Law; Economics","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":[0.0009573482,0.000412266,0.0002468892,0.0007614883,0.002474145,0.004571948,0.000740319,0.0008614426,0.1458958],"category_scores_gemma":[0.002078117,0.0002073488,0.0004121621,0.001061024,0.0008358577,0.002703164,0.00191423,0.001435912,0.05899509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001908051,"about_ca_system_score_gemma":0.003106072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008632434,"about_ca_topic_score_gemma":0.009957649,"domain_scores_codex":[0.9990287,0.0001967182,0.00006967561,0.0002325291,0.0002948304,0.0001775468],"domain_scores_gemma":[0.9984362,0.00009798624,0.0001465915,0.0001362458,0.0008959884,0.0002869213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001934361,0.000174683,0.01711124,0.0007728239,0.00005765007,0.000861206,0.005412444,0.0004977974,0.002864318,0.09579011,0.4104986,0.4657657],"study_design_scores_gemma":[0.000008777505,0.00004499337,0.007258603,0.0001809402,0.00001748993,0.0003996213,0.002949102,0.000308768,0.0006766572,0.005126555,0.9830009,0.00002749066],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03859403,0.005036467,0.009549056,0.01902035,0.004121368,0.0003455722,0.00197069,0.0007055121,0.9206569],"genre_scores_gemma":[0.2008461,0.006921671,0.009205517,0.006423064,0.0008754473,0.0001918192,0.003574263,0.0002716706,0.7716905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1458958,"threshold_uncertainty_score":0.48807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522196412488559,"score_gpt":0.2798232504769151,"score_spread":0.2546012863520295,"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."}}