{"id":"W2152724176","doi":"10.1108/01443571011075056","title":"Human factors: spanning the gap between OM and HRM","year":2010,"lang":"en","type":"article","venue":"International Journal of Operations & Production Management","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":246,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Workload; Originality; Empirical research; Productivity; Human resource management; Quality (philosophy); Knowledge management; Performance management; Computer science; Operations management; Organizational performance; Empirical evidence; Process management; Business; Marketing; Psychology; Engineering; Creativity","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":[0.001835647,0.0001051593,0.0001391018,0.0003153833,0.001241914,0.00007562954,0.000381324,0.00006299019,0.0004180551],"category_scores_gemma":[0.0003424927,0.00007092881,0.00005325498,0.0001557587,0.00009511452,0.0003388572,0.0001495955,0.0009467243,0.00004245929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001102817,"about_ca_system_score_gemma":0.0001392706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001009069,"about_ca_topic_score_gemma":0.0001438501,"domain_scores_codex":[0.9979343,0.000214387,0.0007259595,0.0001751057,0.0007369564,0.0002132524],"domain_scores_gemma":[0.99812,0.0001665225,0.0002448859,0.0002017989,0.001148761,0.0001180549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001855152,0.0003294477,0.7695626,0.0001806486,0.0009050409,0.0000265476,0.006587089,0.001530997,0.00644622,0.1303923,0.02745453,0.05639907],"study_design_scores_gemma":[0.0006053897,0.00008407417,0.8903275,0.00009710874,0.00004277708,0.00001683923,0.002161979,0.00008471803,0.0001177651,0.001634869,0.1047198,0.0001071265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549392,0.00004914184,0.0009016152,0.03504521,0.004160833,0.0007159212,0.00001542062,0.00001585881,0.00415675],"genre_scores_gemma":[0.9913248,0.00008162768,0.001690924,0.0002923864,0.003401946,0.00004162747,0.00002667113,0.00001263325,0.003127359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1287574,"threshold_uncertainty_score":0.955192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.129287056010985,"score_gpt":0.5056643573642042,"score_spread":0.3763773013532192,"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."}}