{"id":"W7116777626","doi":"10.1016/j.dte.2025.100084","title":"A digital maturity model for assessing SMEs in the manufacturing sector","year":2025,"lang":"en","type":"article","venue":"Digital engineering.","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Polytechnique Montréal","funders":"Mitacs","keywords":"Maturity (psychological); Digital transformation; Capability Maturity Model; Service Integration Maturity Model; Modular design; Field (mathematics); Industry 4.0","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00007496279,0.0002285079,0.0001744455,0.0001965744,0.00003362525,0.001192649,0.0002971554,0.0001161799,0.000002067892],"category_scores_gemma":[0.00005275577,0.0002022784,0.0001022685,0.0002189901,0.00001893085,0.002054887,0.00002518384,0.0002704439,0.000007359096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009546493,"about_ca_system_score_gemma":0.00002295249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.6523e-7,"about_ca_topic_score_gemma":5.194134e-7,"domain_scores_codex":[0.9990437,0.000001640546,0.0003025225,0.0001553098,0.0001515818,0.0003452357],"domain_scores_gemma":[0.9995388,0.0001683659,0.00001503481,0.0002189788,0.00001837079,0.00004038821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005411038,0.00003778162,0.0001421413,0.0004345459,0.00003892091,0.000003941205,0.0002667233,0.970698,0.00004184014,0.002915238,0.001504212,0.02391127],"study_design_scores_gemma":[0.0003843754,0.000006339461,0.0006688393,0.0001499065,0.000006879363,0.000007705266,0.0002000059,0.978449,0.001231831,0.001114028,0.01747293,0.000308106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2922107,0.0001694268,0.4844944,0.0001920175,0.0006441804,0.000756953,0.000433009,0.001139005,0.2199604],"genre_scores_gemma":[0.9987869,0.000002316058,0.0004226907,0.00004175332,0.00004907338,0.0001105829,0.00006634987,0.00003792171,0.0004824157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7065762,"threshold_uncertainty_score":0.9998442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385001674485454,"score_gpt":0.2235412861668803,"score_spread":0.2096912694220258,"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."}}