{"id":"W2128967289","doi":"10.5267/j.msl.2012.12.002","title":"Investigating important factors on empowering human resources: A case study of food industry","year":2013,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Food industry; Marketing; Human resources; Computer science; Industrial organization; Knowledge management; Food science; Economics; Management","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":[0.00154822,0.0001820663,0.0001835082,0.0006037061,0.001651271,0.0004482607,0.0008903989,0.00004980872,0.0001179673],"category_scores_gemma":[0.00009300839,0.0001687036,0.00004909686,0.001468905,0.0007017016,0.0006629797,0.0004745037,0.0002732974,0.00001438989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001519684,"about_ca_system_score_gemma":0.000008551073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004796992,"about_ca_topic_score_gemma":0.001065165,"domain_scores_codex":[0.9972731,0.0001000647,0.0004288216,0.0005405719,0.001050029,0.0006074025],"domain_scores_gemma":[0.9990561,0.00004758049,0.0002484222,0.0004276038,0.00003097744,0.0001893202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[9.481557e-7,0.000307639,0.8427873,0.00005354586,0.00007638903,0.0002437863,0.1452425,0.0001992267,0.002322371,0.006389037,0.001035523,0.001341825],"study_design_scores_gemma":[0.0007430683,0.0004546871,0.1687859,0.0001507887,0.00006497843,0.000002214812,0.8268555,0.0002121483,0.0003352821,0.0004310907,0.001375619,0.0005887406],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658581,0.000002894032,0.00001065054,0.0004811794,0.0002074251,0.001018553,3.576077e-7,0.0001023802,0.03231847],"genre_scores_gemma":[0.9988894,6.145755e-7,0.00009400314,0.0004359572,0.00006605486,0.00005129842,3.821512e-7,0.00001257984,0.0004496644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.681613,"threshold_uncertainty_score":0.9996485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05567829002605628,"score_gpt":0.3214273641523595,"score_spread":0.2657490741263032,"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."}}