{"id":"W2306883262","doi":"","title":"What if they take it all? Impact of zero replacement rates on sickness absence","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographic economics; Quarter (Canadian coin); Economics; Zero (linguistics); Labour economics; Business; Geography","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":[0.003199015,0.0001797976,0.0007576813,0.0003535331,0.0002596588,0.001024032,0.0008550936,0.000823195,0.006590047],"category_scores_gemma":[0.02204203,0.0001011177,0.0008621961,0.0003036411,0.000976275,0.0006523989,0.0006424987,0.001207044,0.0008539883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007322671,"about_ca_system_score_gemma":0.000751581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005286189,"about_ca_topic_score_gemma":0.003738456,"domain_scores_codex":[0.9972632,0.001248011,0.0001282487,0.0002947399,0.0004274507,0.0006383223],"domain_scores_gemma":[0.9853709,0.00716015,0.004309502,0.0008085723,0.0007765726,0.001574448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01344216,0.003366429,0.5236302,0.001655529,0.001978135,0.0009378564,0.001774277,0.0154502,0.01314025,0.03078992,0.01321656,0.3806184],"study_design_scores_gemma":[0.0007036236,0.006792881,0.9377324,0.000348707,0.00120416,0.0006366662,0.002797622,0.007081744,0.007950249,0.01234944,0.02231297,0.00008958277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703573,0.006217806,0.002130822,0.01268928,0.000376724,0.00006444982,0.0008096789,0.000064598,0.007289272],"genre_scores_gemma":[0.9972171,0.0003768877,0.000428657,0.0007998346,0.000134722,0.00001105263,0.0001078644,0.000007739947,0.0009162037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006590047,"threshold_uncertainty_score":0.02204585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07711104640663545,"score_gpt":0.3536129450336831,"score_spread":0.2765018986270477,"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."}}