{"id":"W4396956272","doi":"10.1017/pds.2024.206","title":"A survey on the industry's perception of digital twins – a follow-up to the digital twin workshop at the DESIGN Conference 2022","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Design Society","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Perception; Engineering; Psychology","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":[0.009085703,0.0002097449,0.0002917923,0.001514466,0.001814633,0.001980039,0.0003574758,0.0009907415,0.002631763],"category_scores_gemma":[0.01543228,0.0003877937,0.0002589634,0.001092136,0.0006479683,0.001426441,0.002315229,0.001679803,0.0006639371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014415,"about_ca_system_score_gemma":0.001381709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004181062,"about_ca_topic_score_gemma":0.0040529,"domain_scores_codex":[0.9952618,0.002576695,0.0003202673,0.0002859335,0.0008329004,0.0007224343],"domain_scores_gemma":[0.9838727,0.006617905,0.001811752,0.0005014859,0.004657917,0.002538288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002506555,0.001960128,0.4621916,0.0003191726,0.00004045741,0.00147397,0.4456986,0.0002601536,0.007888319,0.001496685,0.009024533,0.06939572],"study_design_scores_gemma":[0.00001991237,0.001319964,0.3554164,0.0001338497,0.00001127741,0.0003168484,0.6151133,0.0006658572,0.001658541,0.0001901836,0.02508494,0.00006884035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997448,0.00004332478,0.0003151045,0.0004146583,0.0000205117,0.0000551962,0.00007052359,0.000004932451,0.00162781],"genre_scores_gemma":[0.9945791,0.0001691498,0.0005818775,0.0005360908,0.00001370489,0.0002487466,0.0001818004,0.00001001815,0.003679454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009085703,"threshold_uncertainty_score":0.04805034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06690443771741895,"score_gpt":0.2527384613220481,"score_spread":0.1858340236046292,"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."}}