{"id":"W7042912111","doi":"","title":"Recommendations to measure wellbeing in the workplace. A meta-analysis of the wellbeing measures in the public and private sector","year":2019,"lang":"en","type":"other","venue":"UTS ePRESS (University of Technology Sydney)","topic":"Cancer and biochemical research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Happiness; Scale (ratio); Private sector; Public sector; Perspective (graphical); Well-being; Workforce; Eudaimonia","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07508872,0.003043801,0.007680579,0.0110838,0.001234024,0.005066736,0.006308901,0.006356393,0.02618621],"category_scores_gemma":[0.2508613,0.002223772,0.02657361,0.007596176,0.001414413,0.009369433,0.003380651,0.006599681,0.004214491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005897366,"about_ca_system_score_gemma":0.02124659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02245371,"about_ca_topic_score_gemma":0.04608616,"domain_scores_codex":[0.9532123,0.02437671,0.0105227,0.002742392,0.008199636,0.0009461591],"domain_scores_gemma":[0.8293911,0.1089579,0.01938822,0.006316107,0.0328604,0.00308621],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001063892,0.0001666391,0.002973686,0.5180827,0.02564665,0.0001811505,0.0007443497,0.0005472265,0.0005307486,0.002346858,0.1638495,0.2838667],"study_design_scores_gemma":[0.00192629,0.0002772752,0.00969454,0.7097878,0.05760131,0.0001885428,0.0005905862,0.0004528399,0.0005221576,0.01139158,0.2073366,0.0002304861],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001559842,0.8497966,0.008323084,0.1015142,0.01299613,0.006840009,0.01336195,0.0006017796,0.005006398],"genre_scores_gemma":[0.03909001,0.6891654,0.07798723,0.1344488,0.005236327,0.03168078,0.01317803,0.0005196457,0.008693884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9249113,"threshold_uncertainty_score":0.3971118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03752339724960322,"score_gpt":0.2634864808595354,"score_spread":0.2259630836099322,"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."}}