{"id":"W4205514683","doi":"10.1109/ms.2021.3133913","title":"Toward Autonomic, Software-Intensive Digital Twin Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Software","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Software; Software system; Software engineering; Real-time computing; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002245673,0.0003294132,0.0003757877,0.0004149855,0.0008071093,0.00299546,0.001368816,0.0008558187,0.001613686],"category_scores_gemma":[0.004137554,0.0002626326,0.0002887686,0.0005140349,0.001071016,0.004200255,0.00533283,0.001685455,0.00070584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006228458,"about_ca_system_score_gemma":0.00147103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008246959,"about_ca_topic_score_gemma":0.001115179,"domain_scores_codex":[0.9990976,0.000242077,0.00006079803,0.0001379045,0.0003419558,0.0001197785],"domain_scores_gemma":[0.9984869,0.0002276405,0.0001316113,0.0004577808,0.000378408,0.0003175985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003793181,0.0003052808,0.003912696,0.0001923574,0.0000665011,0.0005214321,0.001249954,0.06494802,0.0320176,0.6942378,0.007801167,0.1943678],"study_design_scores_gemma":[0.000068888,0.0003954477,0.0008254353,0.0000843031,0.00005388235,0.0003620942,0.0008195715,0.6072351,0.01136742,0.3075477,0.07120682,0.00003337874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09574964,0.0008497891,0.8766679,0.002012317,0.0003450327,0.0001535091,0.00004805484,0.001266246,0.02290751],"genre_scores_gemma":[0.6939579,0.0008214087,0.2967749,0.0005328709,0.0001891083,0.0001111353,0.0001386879,0.0001610335,0.007312944],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00299546,"threshold_uncertainty_score":0.0118764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418406247478573,"score_gpt":0.2188117503298485,"score_spread":0.1946276878550627,"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."}}