{"id":"W4385953770","doi":"10.1080/21681015.2023.2242340","title":"Systematic comparison of digital maturity assessment models","year":2023,"lang":"en","type":"article","venue":"Journal of Industrial and Production Engineering","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; École de Technologie Supérieure","funders":"","keywords":"Maturity (psychological); Computer science; Capability Maturity Model; Variety (cybernetics); Context (archaeology); Performance indicator; Impossibility; Data science; Process management; Artificial intelligence; Engineering; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003733848,0.0001068284,0.0003345538,0.0002671454,0.00001923489,0.00006519064,0.0000772151,0.0001025516,0.000002751618],"category_scores_gemma":[0.0001020381,0.00009473575,0.0000606205,0.0003600229,0.00001363135,0.0009387693,0.00001113627,0.0003693878,0.000001688168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004549215,"about_ca_system_score_gemma":0.00002032685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.567875e-7,"about_ca_topic_score_gemma":3.25526e-8,"domain_scores_codex":[0.9988139,0.000009093534,0.0007441215,0.00005632437,0.0002595608,0.0001170413],"domain_scores_gemma":[0.9995612,0.00005700073,0.000148841,0.00007992119,0.00008864394,0.00006440922],"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":[0.000007115327,0.00001771845,0.0002583415,0.002223677,0.0001132681,0.000001637898,0.0002691818,0.9934663,0.0006545787,0.0003045582,0.001029838,0.00165379],"study_design_scores_gemma":[0.002236538,0.0004423097,0.000651498,0.0138403,0.0002913919,0.0005126224,0.004653404,0.9453437,0.02792734,0.001769127,0.001445806,0.0008859099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805239,0.0003845772,0.01225191,0.000253543,0.004463242,0.0003485811,0.00002233677,0.0002520884,0.001499851],"genre_scores_gemma":[0.9993536,0.0000473831,0.0001839426,4.476591e-7,0.000365466,0.000003475681,0.00000307628,0.00001508143,0.0000275052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04812254,"threshold_uncertainty_score":0.3863212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05688466580820394,"score_gpt":0.2640954429106575,"score_spread":0.2072107771024535,"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."}}