{"id":"W3091627519","doi":"10.5267/j.msl.2020.9.026","title":"Contribution of work ability and work motivation with performance and its impact on work productivity","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Employee Performance and Management","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Productivity; Work motivation; Work performance; Work productivity; Computer science; Psychology; Business; Economics; Engineering; Business administration; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001898565,0.0002544985,0.0002896738,0.001088273,0.0006102493,0.001335505,0.0003176329,0.0003157026,0.003704719],"category_scores_gemma":[0.01041444,0.0001392329,0.0005198856,0.00090742,0.0004911222,0.0004604151,0.001341501,0.0008340846,0.0003058258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005420818,"about_ca_system_score_gemma":0.001321001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003096399,"about_ca_topic_score_gemma":0.003249795,"domain_scores_codex":[0.9972684,0.001133081,0.0001811928,0.0002074972,0.0007360057,0.0004738357],"domain_scores_gemma":[0.9883957,0.005595483,0.002638698,0.0004454517,0.001105692,0.001819019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005590895,0.0002627536,0.9838557,0.00003478229,0.00009633971,0.00007825241,0.0005947957,0.0002181457,0.0002968947,0.0002761289,0.0001223492,0.01410798],"study_design_scores_gemma":[0.000002200653,0.0001004697,0.9985783,0.00001049759,0.00002631634,0.0000511131,0.0004318605,0.0002455201,0.00006425274,0.0001016193,0.0003823938,0.000005494935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948608,0.0002022153,0.0003182546,0.0001800694,0.0000103648,0.00002223682,0.00006839553,0.000005786527,0.004331829],"genre_scores_gemma":[0.9989951,0.00007938837,0.0002145544,0.00001503509,0.0000111029,0.00001545506,0.00003866528,0.000001902168,0.0006287635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003704719,"threshold_uncertainty_score":0.01239353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656709740038924,"score_gpt":0.2622108572158375,"score_spread":0.2456437598154482,"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."}}