{"id":"W7096060277","doi":"","title":"Mandatory Severance Pay: An Assessment of its Coverage and Effects in Peru *","year":2001,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Severance; Entitlement (fair division); Wage; Unemployment; Consumption (sociology); Private sector; Private consumption","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":[0.004326333,0.0002866029,0.0004439786,0.001708691,0.0005265802,0.0008689181,0.000752985,0.000609528,0.002934109],"category_scores_gemma":[0.01837133,0.0002898512,0.0007486267,0.002847148,0.0006604387,0.000618548,0.002175472,0.0006653795,0.0002223407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006619216,"about_ca_system_score_gemma":0.0003721146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03004228,"about_ca_topic_score_gemma":0.02547659,"domain_scores_codex":[0.9960088,0.002862632,0.0001385581,0.0002167036,0.0004026671,0.0003706533],"domain_scores_gemma":[0.9811644,0.009045005,0.006875383,0.0006791816,0.001344139,0.0008919168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005957995,0.000194798,0.9841055,0.0001023619,0.0003363007,0.0001772067,0.0008881545,0.0002801499,0.0001731503,0.000184776,0.0003448427,0.01261694],"study_design_scores_gemma":[0.00001559529,0.000501265,0.9973487,0.0000262249,0.0001213491,0.00009028432,0.0006383489,0.0004179585,0.0000742733,0.00003948792,0.0007219923,0.000004465626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945111,0.00141693,0.000186963,0.0005824876,0.000005511338,0.00002889035,0.0008390239,0.00001810186,0.002411003],"genre_scores_gemma":[0.9978721,0.0007193254,0.0001048877,0.00005960202,0.00001941882,0.0000325223,0.0007496608,0.000004980835,0.0004374969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03004228,"threshold_uncertainty_score":0.05973482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173725934865816,"score_gpt":0.3171421256177857,"score_spread":0.3054048662691276,"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."}}