{"id":"W2764396533","doi":"10.1108/hrmid-05-2016-0073","title":"Using bonus and awards for motivating project employees","year":2016,"lang":"en","type":"article","venue":"Human Resource Management International Digest","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Originality; Milestone; Compensation (psychology); Value (mathematics); Business; Human resource management; Relevance (law); Job security; Marketing; Certificate; Performance management; Job enrichment; Public relations; Job satisfaction; Work (physics); Management; Job performance; Economics; Psychology; Job design; Political science; Computer science; Engineering; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00109332,0.0001725669,0.0001687632,0.0007495019,0.0003733546,0.0004720446,0.0006505642,0.00003607793,0.0002861582],"category_scores_gemma":[0.0002233648,0.0001168571,0.00009370193,0.0002665174,0.0001328549,0.0004489146,0.0004944445,0.00004917116,0.00002918202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007426141,"about_ca_system_score_gemma":0.000009873767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002244308,"about_ca_topic_score_gemma":0.00001485426,"domain_scores_codex":[0.9977352,0.00004160297,0.0005281445,0.0005487405,0.0008899627,0.0002563431],"domain_scores_gemma":[0.9988773,0.0003088702,0.0002721337,0.0003268168,0.0001704375,0.00004439382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001466236,0.0001213194,0.2090573,0.00006345789,0.0002985731,0.00001522216,0.0005990854,0.00007547814,0.0009718179,0.3720455,0.02939222,0.3872135],"study_design_scores_gemma":[0.001548023,0.00009983115,0.05448735,0.0001588339,0.00003571158,0.00001064431,0.001615027,0.001068816,0.0001958144,0.0129409,0.9274826,0.0003564543],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8032735,0.00002243397,0.01463168,0.001128189,0.0004419756,0.0008441142,0.00003743762,0.0001181813,0.1795025],"genre_scores_gemma":[0.96977,0.00001707157,0.002820699,0.0001897622,0.0002800541,0.00007081597,0.0000109492,0.00002211008,0.0268186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8980904,"threshold_uncertainty_score":0.4765296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2296910071986244,"score_gpt":0.4353197299138769,"score_spread":0.2056287227152524,"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."}}