{"id":"W1533463130","doi":"","title":"An Analysis of Unemployment Incidence and Duration: Some New Evidence from Canada","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Unemployment; Duration (music); Incidence (geometry); Economics; Demographic economics; Demography; Labour economics; Macroeconomics; Mathematics; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001126521,0.0003147133,0.0007783548,0.005028547,0.00248398,0.001899501,0.001237433,0.0003861974,0.00249868],"category_scores_gemma":[0.004728677,0.0003049597,0.0006927024,0.01765896,0.0008602525,0.000585749,0.001252971,0.0008225412,0.0002333324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02391758,"about_ca_system_score_gemma":0.02408541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967817,"about_ca_topic_score_gemma":0.9980495,"domain_scores_codex":[0.9984556,0.0001092679,0.00008658829,0.0002101774,0.0007187405,0.0004195748],"domain_scores_gemma":[0.9926594,0.0008154187,0.001094217,0.0002735279,0.004144465,0.001013069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002146491,0.00004257714,0.9665222,0.0001947589,0.0002135058,0.0001475019,0.00320862,0.0009043507,0.000298884,0.001118366,0.003864258,0.02327042],"study_design_scores_gemma":[0.000003791507,0.000008987072,0.9964463,0.00003140005,0.00002869433,0.00002229674,0.0006461985,0.0002355406,0.00004117858,0.00004635018,0.002477369,0.00001191925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634614,0.005335591,0.0005996292,0.0008268398,0.00002140636,0.00004045531,0.02110258,0.00002772464,0.008584554],"genre_scores_gemma":[0.9839432,0.00309836,0.0005095763,0.0001308001,0.00002178172,0.0000158526,0.01028236,0.00001666724,0.001981397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02391758,"threshold_uncertainty_score":0.173535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04575261195344077,"score_gpt":0.3058475979070792,"score_spread":0.2600949859536384,"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."}}