{"id":"W4292566200","doi":"10.5267/j.msl.2022.6.001","title":"The effect of organizational health on the employee performance in the extractive industries","year":2022,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Group cohesiveness; Accountability; Sample (material); Order (exchange); Creativity; Organizational performance; Marketing; Healthcare industry; Knowledge management; Health care; Psychology; Computer science; Economics; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003174503,0.00009855584,0.00007555876,0.0001370038,0.002184955,0.0001794358,0.002851275,0.000006269397,0.00001374839],"category_scores_gemma":[0.00005417149,0.00004753752,0.00001710828,0.003540656,0.000365931,0.000390734,0.0006193487,0.0002422254,0.00001398077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001483731,"about_ca_system_score_gemma":0.00004985962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001145674,"about_ca_topic_score_gemma":0.000001734657,"domain_scores_codex":[0.9978495,0.0002235855,0.0001906031,0.0002621107,0.001169306,0.0003049013],"domain_scores_gemma":[0.9990004,0.0003578245,0.0001230445,0.0004807102,0.00001752484,0.00002052548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005304384,0.0001152592,0.6450455,0.00005245441,0.00003310398,0.00001142217,0.0066627,0.0480547,0.0003465367,0.2474379,0.03060309,0.02158436],"study_design_scores_gemma":[0.0002859536,0.0005221648,0.9816259,0.00001932043,0.0000036127,0.000009386305,0.0006189845,0.005637115,0.001872558,0.0002950645,0.008955033,0.0001549602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.883954,0.00001610147,0.001528111,0.1129135,0.0003000226,0.0005004486,0.000001572614,0.0000252215,0.0007609967],"genre_scores_gemma":[0.9903371,0.00001400293,0.0000779431,0.009395846,0.00002346698,0.00006945257,0.000001223219,0.00000430915,0.00007668406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3365804,"threshold_uncertainty_score":0.999114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009589343303381319,"score_gpt":0.2211441105431436,"score_spread":0.2115547672397623,"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."}}