{"id":"W3121853442","doi":"","title":"Poisson Models with Employer-Employee Unobserved Heterogeneity: An Application to Absence Data","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Poisson distribution; Economics; Distribution (mathematics); Parametric statistics; Dirichlet distribution; Estimation; Mathematics; Statistics","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":[0.02666513,0.001237498,0.003343458,0.002979095,0.001325168,0.003414883,0.008139482,0.003495796,0.006720188],"category_scores_gemma":[0.07870544,0.001827499,0.003772868,0.004728798,0.002480623,0.004492612,0.003503848,0.005050824,0.001075349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002910058,"about_ca_system_score_gemma":0.003061104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03197582,"about_ca_topic_score_gemma":0.02012834,"domain_scores_codex":[0.9898809,0.006493313,0.0004398324,0.001247362,0.001268252,0.000670368],"domain_scores_gemma":[0.9217438,0.06730486,0.003676716,0.003718875,0.002728757,0.0008270194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001706177,0.0001585403,0.01476865,0.0003130336,0.0003468179,0.000971923,0.001289394,0.2610793,0.0002999551,0.6782494,0.005083899,0.03726844],"study_design_scores_gemma":[0.0001006701,0.0000480428,0.002561659,0.00009470772,0.00009715108,0.0003746781,0.0002326905,0.6004544,0.0001824627,0.3905851,0.005183583,0.00008488736],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02285748,0.0007713618,0.970789,0.001542986,0.0001176879,0.0001919727,0.001359843,0.0002785116,0.002091146],"genre_scores_gemma":[0.685505,0.003571484,0.2805064,0.0008692166,0.001201916,0.00166782,0.005015849,0.0005387724,0.02112351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03197582,"threshold_uncertainty_score":0.1410204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1475097332067129,"score_gpt":0.4082780604941096,"score_spread":0.2607683272873967,"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."}}