{"id":"W1895059597","doi":"","title":"캐나다의 임금차별 판단 법리에 관한 비교법적 검토","year":2011,"lang":"ko","type":"article","venue":"노동법학","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wage; Plaintiff; Job evaluation; Employment discrimination; Equity (law); Government (linguistics); Equal employment opportunity; Labour economics; Work (physics); Efficiency wage; Labour law; Economics; Business; Actuarial science; Law; Political science; Job analysis; Job satisfaction; Management; Engineering","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":[0.001903337,0.0002587262,0.0002745732,0.001851138,0.01042036,0.004422668,0.00135703,0.00208564,0.009202211],"category_scores_gemma":[0.005296974,0.0003126605,0.0004115184,0.002022097,0.003346016,0.001038787,0.00106899,0.002274629,0.0009752798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03788236,"about_ca_system_score_gemma":0.1401565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.960699,"about_ca_topic_score_gemma":0.9800392,"domain_scores_codex":[0.9944261,0.0002133614,0.0001450291,0.000385372,0.003703292,0.001126763],"domain_scores_gemma":[0.9954028,0.0005387005,0.0002107472,0.000184579,0.00317622,0.0004869168],"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":[0.00004457794,0.0000818406,0.00965728,0.0002460306,0.00001962411,0.0005829152,0.001918351,0.0004401624,0.001476297,0.7369074,0.1776363,0.07098912],"study_design_scores_gemma":[0.00003036345,0.00005077797,0.04011759,0.0002911283,0.00003936884,0.000336056,0.002382442,0.001365516,0.002220956,0.02174793,0.9312782,0.0001397131],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.09053968,0.007157167,0.006541485,0.04302814,0.0009659328,0.0003923918,0.002337827,0.000397177,0.8486401],"genre_scores_gemma":[0.6232076,0.004556275,0.0134794,0.02467084,0.0001564549,0.0001074527,0.001259713,0.00008818691,0.3324741],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03930104,"threshold_uncertainty_score":0.274857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0560124256107259,"score_gpt":0.2019117906688311,"score_spread":0.1458993650581052,"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."}}