{"id":"W2799498076","doi":"10.1093/rheumatology/key075.551","title":"e10 Moderate to good construct validity of global presenteeism measures with multi-item presenteeism measure and patient-reported health outcomes","year":2018,"lang":"en","type":"article","venue":"Lara D. Veeken","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Arthritis Research Centre of Canada; University of British Columbia","funders":"","keywords":"Presenteeism; Medicine; Measure (data warehouse); Construct validity; Construct (python library); Psychometrics; Clinical psychology; Absenteeism; Social psychology; Data mining; Psychology","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":[0.01886582,0.0004235017,0.0005588061,0.002043515,0.0004322113,0.001414323,0.0006967623,0.0008154903,0.003272679],"category_scores_gemma":[0.05258189,0.0002396046,0.001666916,0.002035238,0.001378015,0.001126633,0.002013387,0.0007514005,0.0004457669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007178259,"about_ca_system_score_gemma":0.0006723557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206656,"about_ca_topic_score_gemma":0.00165916,"domain_scores_codex":[0.9884963,0.00481911,0.001491999,0.0009457061,0.003608318,0.0006386641],"domain_scores_gemma":[0.9428509,0.03553715,0.01097391,0.002495715,0.006807979,0.001334284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001187961,0.0001451387,0.9828277,0.0001090559,0.0004302977,0.00003908065,0.0003691627,0.0004873599,0.0002115533,0.0004063022,0.0006259555,0.01422962],"study_design_scores_gemma":[0.00002376038,0.0002423205,0.9954854,0.00007735535,0.00007633137,0.0001562961,0.0003606763,0.001390021,0.0002260479,0.0007660415,0.001178544,0.00001727543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803987,0.0008718261,0.005978405,0.0006203473,0.00008603006,0.0002342314,0.001143734,0.00003987559,0.01062689],"genre_scores_gemma":[0.9966081,0.0001094885,0.002241695,0.00006382367,0.0000340669,0.0001257919,0.0005378735,0.000007507507,0.0002716357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01886582,"threshold_uncertainty_score":0.09977311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2914564345892698,"score_gpt":0.4039186272208896,"score_spread":0.1124621926316198,"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."}}