{"id":"W4292004747","doi":"10.1108/k-03-2022-0365","title":"Main challenges and best practices to be adopted in management training for Industry 4.0","year":2022,"lang":"en","type":"article","venue":"Kybernetes","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Originality; Delphi method; Delphi; Knowledge management; Training (meteorology); Value (mathematics); Process (computing); Set (abstract data type); Best practice; Computer science; Management science; Process management; Business; Engineering; Management; Qualitative research; Artificial intelligence; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05047656,0.0008623362,0.0006785202,0.001961999,0.005316268,0.01139332,0.003185977,0.004143016,0.003607531],"category_scores_gemma":[0.05839189,0.0006027481,0.0009383489,0.001655683,0.003818738,0.007949147,0.006364777,0.004452104,0.00112368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009471785,"about_ca_system_score_gemma":0.04235645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004988197,"about_ca_topic_score_gemma":0.005449419,"domain_scores_codex":[0.9361839,0.03857785,0.004626973,0.002683401,0.01167996,0.006248025],"domain_scores_gemma":[0.9442633,0.02645958,0.005375154,0.00321825,0.01446507,0.006218616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003572828,0.001433728,0.04416931,0.01149234,0.0001785356,0.002619347,0.166148,0.004649889,0.01078311,0.05457564,0.02326871,0.6803241],"study_design_scores_gemma":[0.00007237354,0.001031874,0.04141397,0.0252384,0.000130819,0.002305535,0.6541967,0.007746408,0.009012987,0.05345357,0.2049753,0.000422082],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5285941,0.01603733,0.08152688,0.2803928,0.002042057,0.004669521,0.0003005659,0.0006590745,0.08577766],"genre_scores_gemma":[0.8622768,0.006242515,0.1144042,0.007413675,0.0001303197,0.001771391,0.0002216977,0.00007895117,0.00746049],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.05047656,"threshold_uncertainty_score":0.2669488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1307939696171594,"score_gpt":0.2941663054755816,"score_spread":0.1633723358584222,"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."}}