{"id":"W119479649","doi":"","title":"Mobilizing South Korea's Women","year":2001,"lang":"en","type":"article","venue":"The McKinsey Quarterly","topic":"Asian Industrial and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Gross domestic product; Purchasing power parity; Per capita; Legislation; Political science; Purchasing power; Employment protection legislation; Economic growth; Demographic economics; China; Business; Development economics; Economics; Demography; Population; Sociology; Unemployment; Law; Exchange rate","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":[0.001574191,0.0009933945,0.0002344929,0.0008507513,0.005557291,0.003086009,0.001128931,0.001615246,0.03591225],"category_scores_gemma":[0.002008381,0.0002971738,0.0003509704,0.0004984392,0.00168028,0.003115111,0.01123345,0.001794027,0.005729163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280471,"about_ca_system_score_gemma":0.006209938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004405905,"about_ca_topic_score_gemma":0.01269281,"domain_scores_codex":[0.9992386,0.0001720603,0.00001750716,0.00007227522,0.00007511299,0.0004244399],"domain_scores_gemma":[0.9986995,0.0001059909,0.0001366412,0.00004429534,0.0001083121,0.000905161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002359186,0.0007418338,0.05420491,0.002031029,0.00008801,0.002988635,0.109937,0.0001867454,0.008385629,0.02952733,0.3737266,0.4179465],"study_design_scores_gemma":[0.00004860068,0.0003299845,0.01804115,0.001349467,0.00004988053,0.0008024778,0.1740237,0.0001090252,0.001199404,0.0037044,0.8003001,0.00004190384],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4706164,0.01253676,0.002463008,0.19841,0.006208786,0.0006975109,0.0004805379,0.0002852354,0.3083017],"genre_scores_gemma":[0.7423585,0.009831593,0.001873746,0.08516578,0.000795743,0.0004980406,0.0004344816,0.0001534371,0.1588886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03591225,"threshold_uncertainty_score":0.1201384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03323487612042646,"score_gpt":0.2604679310752241,"score_spread":0.2272330549547976,"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."}}