{"id":"W7144070333","doi":"10.32287/td00027417","title":"韓国における早期留学の変遷 -統計分析による各政権期の特徴-","year":2013,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Global Educational Reforms and Inequalities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phenomenon; Metropolitan area; Government (linguistics); Administration (probate law); Currency; Globalization; Period (music)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007101662,0.0005465343,0.0004943798,0.0001832147,0.003013691,0.00122829,0.0009533666,0.0003530796,0.003929754],"category_scores_gemma":[0.001832086,0.0004887541,0.0002861688,0.000917181,0.002081533,0.004738401,0.0003961249,0.0005366727,0.004297986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096753,"about_ca_system_score_gemma":0.003172349,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06033431,"about_ca_topic_score_gemma":0.000726888,"domain_scores_codex":[0.9946017,0.0002325972,0.001067855,0.0008672967,0.002164621,0.001065979],"domain_scores_gemma":[0.9962409,0.000335041,0.0004177046,0.0008299534,0.001425616,0.0007508463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004741241,0.0005351714,0.002914232,0.0001566675,0.0001875839,0.0000498782,0.005993058,0.00004523418,0.001024305,0.8617088,0.1255742,0.001763437],"study_design_scores_gemma":[0.0004370305,0.0001059112,0.01001722,0.0004019836,0.00007785092,0.00006650651,0.01392967,0.00008899551,0.000623385,0.004741696,0.968714,0.0007957775],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.506627,0.004930772,0.0002910635,0.01407676,0.03101017,0.001589304,0.002418075,0.0003779997,0.4386789],"genre_scores_gemma":[0.9664177,0.0008516355,0.001583388,0.001407991,0.007129156,0.0002419226,0.001082287,0.00003377043,0.02125218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8569671,"threshold_uncertainty_score":0.9998085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742795059457804,"score_gpt":0.3030781777322291,"score_spread":0.2756502271376511,"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."}}