{"id":"W2396812244","doi":"","title":"Human rights issues and employee benefit plans.","year":2001,"lang":"en","type":"article","venue":"PubMed","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Charter; Statute; Human rights; Legislation; Legislature; Equity (law); Business; Government (linguistics); Public administration; Law; Political science","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":[0.006232779,0.0002422432,0.0002431821,0.002975678,0.008603866,0.004683421,0.001439168,0.00543374,0.02384513],"category_scores_gemma":[0.03013524,0.0002187281,0.0003831034,0.003666806,0.008257864,0.003178098,0.002602035,0.004224908,0.001057926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01488671,"about_ca_system_score_gemma":0.04104661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5935763,"about_ca_topic_score_gemma":0.7352305,"domain_scores_codex":[0.9920912,0.001632578,0.000235027,0.0004357433,0.003666829,0.001938638],"domain_scores_gemma":[0.9868882,0.006983001,0.00130604,0.0003921605,0.003218061,0.001212563],"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":[0.00003404507,0.00006969771,0.01154301,0.0002892958,0.0000263446,0.0004441966,0.005962483,0.0001408517,0.00003642957,0.7781025,0.1388783,0.06447281],"study_design_scores_gemma":[0.00003062289,0.00004662308,0.05772142,0.00260556,0.00007505939,0.0004008705,0.0147401,0.0002022775,0.0001621674,0.1644419,0.759536,0.00003747382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02401798,0.0364952,0.000942135,0.1703199,0.0009853384,0.0001431128,0.001229729,0.00001869666,0.7658479],"genre_scores_gemma":[0.7753289,0.03129534,0.00143678,0.0749807,0.0010217,0.0002101827,0.001160283,0.00001901658,0.1145471],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5935763,"threshold_uncertainty_score":0.8176344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05897730588739523,"score_gpt":0.3177346007931034,"score_spread":0.2587572949057081,"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."}}