{"id":"W4415092965","doi":"10.1080/00207543.2025.2562968","title":"Redefining digital competencies of managers in the Industry 5.0: evidence from the Brazilian automotive sector","year":2025,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Global Affairs Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Automotive industry; Industry 4.0; Digital transformation; Production (economics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001548906,0.00007050674,0.0001006075,0.000367938,0.00004939226,0.0002274642,0.0009002083,0.00007798543,0.00005057534],"category_scores_gemma":[0.001653459,0.00004655714,0.00005713334,0.0006235939,0.0001967627,0.0009630198,0.00005138561,0.001246238,0.000006705521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001765862,"about_ca_system_score_gemma":0.000122285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004110801,"about_ca_topic_score_gemma":0.00001285183,"domain_scores_codex":[0.9981992,0.0001170149,0.0004637006,0.00008868448,0.00100018,0.0001312269],"domain_scores_gemma":[0.9980082,0.0008690341,0.00008498112,0.0001590974,0.0008584397,0.00002024282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0006304828,0.0006040073,0.2608242,0.0003014375,0.002188287,0.0001887786,0.04165836,0.3123223,0.01102518,0.01414731,0.1815396,0.1745702],"study_design_scores_gemma":[0.002011379,0.0003208473,0.7080897,0.01037308,0.00005955691,0.0003375674,0.1268244,0.005378931,0.06035721,0.0262023,0.05948095,0.0005641062],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621714,0.0003909,0.0004864818,0.01734053,0.001744148,0.0001709538,0.00002804395,0.00001809491,0.0176495],"genre_scores_gemma":[0.9992538,0.00008055738,0.00009923852,0.0000408184,0.0002913133,0.000005848188,0.000002860809,0.000005793995,0.0002197897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4472656,"threshold_uncertainty_score":0.5414352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09274337729071042,"score_gpt":0.3629712982757747,"score_spread":0.2702279209850643,"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."}}