{"id":"W2259420823","doi":"","title":"차별시정기구에 대한 비교법적 고찰 - 미국과 캐나다의 차별시정기구에 대한 검토를 기초로 한국 국가인권위원회의 방향 제시 -","year":2007,"lang":"ko","type":"article","venue":"고려법학","topic":"Discrimination and Equality Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Equal employment opportunity; Employment discrimination; Harassment; Commission; Law; Political science; Enforcement; Agency (philosophy); Institution; Religious discrimination; Age discrimination; Sociology","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":[0.001614021,0.0003803921,0.0002573394,0.000685121,0.004299723,0.008872441,0.0007448838,0.002262978,0.1115281],"category_scores_gemma":[0.003001895,0.0002344213,0.0003212071,0.001038376,0.003420387,0.004474115,0.002915907,0.003392186,0.05686298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003959548,"about_ca_system_score_gemma":0.007961441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034787,"about_ca_topic_score_gemma":0.01496109,"domain_scores_codex":[0.9977427,0.0003604495,0.00007907634,0.0003796836,0.001028342,0.000409751],"domain_scores_gemma":[0.9976342,0.0001997508,0.0001410568,0.0002091495,0.001244217,0.0005716135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003985277,0.00007762944,0.00236824,0.000146934,0.000007784015,0.0001494564,0.002059598,0.0001211977,0.000871234,0.3354212,0.5595691,0.0991677],"study_design_scores_gemma":[0.000002754619,0.000009518432,0.0007382763,0.00005915715,0.000002012779,0.0000514078,0.000568098,0.0000321267,0.0002062156,0.007116088,0.9912091,0.000005103491],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003796649,0.003195378,0.002566495,0.03753376,0.003909727,0.00007911857,0.0003779106,0.0001948416,0.9483461],"genre_scores_gemma":[0.06034419,0.003530837,0.002126172,0.01278196,0.001036375,0.00005859296,0.0003982895,0.0001341943,0.9195895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9896522,"threshold_uncertainty_score":0.3730986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.067757448109352,"score_gpt":0.397471992144039,"score_spread":0.329714544034687,"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."}}