{"id":"W2133923100","doi":"","title":"Evidence Regarding Persistence in the Gender Unemployment Gap Based on the Ratio of Female to Male Unemployment Rate","year":2007,"lang":"en","type":"article","venue":"Economics bulletin","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Unemployment rate; Persistence (discontinuity); Economics; Unit root; Demographic economics; Gender gap; Unit (ring theory); Labour economics; Empirical evidence; Sample (material); Psychology; Econometrics; Economic growth","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006082268,0.0002533777,0.0004392901,0.0002757513,0.0001584777,0.0001023538,0.0007152706,0.00008722224,0.001914532],"category_scores_gemma":[0.0003132758,0.000213264,0.0002034124,0.0001694423,0.00008890228,0.00009585486,0.0000788216,0.0002323714,0.001373082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003313204,"about_ca_system_score_gemma":0.00002949464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000504014,"about_ca_topic_score_gemma":0.0001468172,"domain_scores_codex":[0.9976897,0.0000867027,0.001076277,0.0005481484,0.00004056896,0.0005586105],"domain_scores_gemma":[0.9975623,0.001004787,0.0004540911,0.0008579212,0.00001279445,0.0001080888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007693057,0.0004655886,0.2517579,0.0001047428,0.0001615616,0.00002271027,0.008099808,0.52524,0.00008153226,0.1934621,0.01896751,0.0008672181],"study_design_scores_gemma":[0.004136255,0.001648103,0.2901697,0.0006002092,0.0000649381,0.00004414745,0.006423046,0.1798162,0.004764696,0.01203444,0.4975589,0.00273944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466448,0.0003239774,0.0009974985,0.02456665,0.0002831566,0.0007043875,0.00005632395,0.00001178468,0.02641141],"genre_scores_gemma":[0.9883323,0.0001555773,0.000477882,0.00977013,0.0001320881,0.00005820458,0.000004760161,0.00002788716,0.00104115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4785914,"threshold_uncertainty_score":0.9994045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.226529258199288,"score_gpt":0.2634255495462643,"score_spread":0.03689629134697631,"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."}}