{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005151398,0.0004988058,0.0005886198,0.0003366924,0.00166927,0.0006707455,0.00127905,0.0005312444,0.006637583],"category_scores_gemma":[0.0005944983,0.0005129025,0.0004021902,0.001559074,0.00181796,0.001012606,0.0002986942,0.0005696529,0.006033537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005008339,"about_ca_system_score_gemma":0.0007787874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01004664,"about_ca_topic_score_gemma":0.01849265,"domain_scores_codex":[0.9938261,0.0003752638,0.0009987382,0.0009514461,0.002045294,0.001803177],"domain_scores_gemma":[0.9970793,0.0003457641,0.0003934673,0.0007945645,0.00044297,0.0009439991],"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":[0.0001395714,0.00103248,0.005715596,0.0001746186,0.0001584857,0.0001130984,0.104518,0.000007058989,0.0007933843,0.7379775,0.03621219,0.113158],"study_design_scores_gemma":[0.001361654,0.0002157105,0.04322599,0.0001612605,0.0002020649,0.000006384626,0.04909834,0.00006612853,0.00190453,0.01927914,0.8832008,0.001278011],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2252755,0.0002870804,0.000620591,0.009429331,0.004678311,0.0006190534,0.00007343051,0.0003488052,0.7586679],"genre_scores_gemma":[0.9274087,0.0001462415,0.0004033775,0.003020344,0.001741454,0.00001231749,0.00003748736,0.00005669195,0.06717342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8469886,"threshold_uncertainty_score":0.9997323,"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."}}