{"id":"W4229699189","doi":"10.17722/ijme.v7i2.269","title":"Flexible man-man motivation performance management system for Industry 4.0","year":2016,"lang":"en","type":"article","venue":"International Journal of Management Excellence","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Industry 4.0; Process management; Industrial organization; Computer science; Knowledge 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":[],"consensus_categories":[],"category_scores_codex":[0.002236661,0.0001523472,0.0002154515,0.0004327597,0.0001314056,0.0002888492,0.001738714,0.00008677196,0.0001796912],"category_scores_gemma":[0.0001550053,0.00008877846,0.0001852752,0.0002697157,0.00006063962,0.001181356,0.000269069,0.0001137602,0.00007618982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001975358,"about_ca_system_score_gemma":0.00002471178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002237688,"about_ca_topic_score_gemma":2.23546e-7,"domain_scores_codex":[0.996512,0.00004270179,0.0008630151,0.0002690875,0.002078822,0.0002343607],"domain_scores_gemma":[0.9975897,0.000284908,0.0007655786,0.000303678,0.0009637002,0.00009241939],"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":[0.0005129595,0.000246791,0.01983151,0.0001437261,0.0005305332,0.0001161222,0.0001769915,0.0004925399,0.0003456807,0.01620141,0.08779581,0.8736059],"study_design_scores_gemma":[0.007048063,0.0004972593,0.2367909,0.00302313,0.0001659291,0.0001517869,0.006417659,0.001111944,0.005940208,0.00729466,0.7308514,0.0007071643],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.451782,0.0001275338,0.5063121,0.0141701,0.006469491,0.0005836585,0.00007417578,0.00005779997,0.02042316],"genre_scores_gemma":[0.9849178,0.0004847507,0.003025298,0.0003860091,0.000415376,0.00001120259,0.000003255223,0.00001025417,0.01074611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8728988,"threshold_uncertainty_score":0.3620281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016396959703285,"score_gpt":0.3592301947590074,"score_spread":0.2575904987886789,"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."}}