{"id":"W2461436145","doi":"10.1007/s00420-016-1146-2","title":"Who is working while sick? Nonstandard employment and its association with absenteeism and presenteeism in South Korea","year":2016,"lang":"en","type":"article","venue":"International Archives of Occupational and Environmental Health","topic":"Workplace Health and Well-being","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Research Foundation of Korea; Occupational Safety and Health Research Institute; Korea Occupational Safety and Health Agency","keywords":"Presenteeism; Absenteeism; Sick leave; Demographic economics; Medicine; Demography; Association (psychology); Psychology; Social psychology; Economics; Physical therapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005155086,0.0002317169,0.0002916752,0.0008664375,0.0008850339,0.0009958982,0.0005861441,0.0005563123,0.001999882],"category_scores_gemma":[0.001276614,0.0003330729,0.0007675133,0.001369483,0.0004545817,0.0005960498,0.0009023658,0.001182829,0.0002585679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004890779,"about_ca_system_score_gemma":0.0009550925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02148304,"about_ca_topic_score_gemma":0.04954047,"domain_scores_codex":[0.9995679,0.00007134723,0.0001006871,0.00006302482,0.00006127146,0.0001357914],"domain_scores_gemma":[0.9971628,0.0002272407,0.001246482,0.00007305785,0.0002498713,0.001040597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000242472,0.00005449665,0.9988307,0.00001298674,0.00002823762,0.0001018968,0.0002876191,0.000008792495,0.00009276286,0.00001289688,0.00005432438,0.0004910051],"study_design_scores_gemma":[0.000001260563,0.00003400056,0.9970019,0.00001129886,0.00001929345,0.0001144558,0.002595676,0.00005061939,0.00001397983,0.00001612869,0.0001358745,0.00000542686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999229,0.0001605722,0.00002010257,0.0001251693,0.00001072742,0.000003798688,0.0001418609,7.969912e-7,0.000307982],"genre_scores_gemma":[0.9994148,0.0001199525,0.00003687998,0.00003831712,0.0000105319,0.000003893339,0.0001426501,0.000001000373,0.0002319336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02148304,"threshold_uncertainty_score":0.04271597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651167634696517,"score_gpt":0.3289351982913016,"score_spread":0.3024235219443365,"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."}}