{"id":"W7133641628","doi":"10.46254/au04.20250226","title":"Mapping the Technical and Behavioral Competencies of Production Engineers in Industry Era 4.0: Evidence from Brazil and an International Perspective","year":2025,"lang":"","type":"article","venue":"","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Perspective (graphical); Production (economics); Knowledge production; Industry 4.0","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003107803,0.0002162169,0.0002880687,0.004208408,0.0007304985,0.001500163,0.0003619301,0.000376023,0.001536433],"category_scores_gemma":[0.01361515,0.0001976634,0.0002738606,0.004945803,0.001366752,0.001348597,0.001486565,0.0003874702,0.0001206846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900741,"about_ca_system_score_gemma":0.00413746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04032114,"about_ca_topic_score_gemma":0.07311011,"domain_scores_codex":[0.9988317,0.0003517527,0.0001428987,0.0001788928,0.000321875,0.0001729781],"domain_scores_gemma":[0.9900052,0.005344057,0.00258891,0.0003347281,0.001372778,0.0003542737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009881252,0.0001339762,0.7552256,0.004655173,0.0001379825,0.0007321373,0.08711086,0.000202913,0.000972399,0.01095427,0.0015625,0.1382135],"study_design_scores_gemma":[0.000007429419,0.00009704323,0.9090846,0.00371577,0.0001073001,0.0004202798,0.06668253,0.0002173797,0.0003641856,0.001004312,0.01828168,0.0000175302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632758,0.01592707,0.0005619104,0.001514173,0.00003017042,0.00006034714,0.0006959031,0.000007399378,0.01792709],"genre_scores_gemma":[0.994497,0.004589162,0.0003272325,0.0001129344,0.000007679348,0.00001964861,0.0001882873,0.000002544234,0.0002556064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04032114,"threshold_uncertainty_score":0.0801729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04012927211890313,"score_gpt":0.3060515878071202,"score_spread":0.2659223156882171,"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."}}