{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000443229,0.0002655036,0.0002970448,0.00008103339,0.0000828628,0.0003815474,0.0002163963,0.0002072312,0.00009009515],"category_scores_gemma":[0.0001926532,0.0002994102,0.0001404808,0.0002214756,0.0000489772,0.0009477022,0.00004259895,0.0003122806,0.000883826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001964907,"about_ca_system_score_gemma":0.0001019559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003770356,"about_ca_topic_score_gemma":8.436797e-7,"domain_scores_codex":[0.9986716,0.00001081119,0.00042143,0.0002518532,0.0002427509,0.000401565],"domain_scores_gemma":[0.9989685,0.0001336543,0.00003670009,0.0003619562,0.0003294115,0.0001698204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003418047,0.0001712781,0.01247728,0.0022587,0.001079693,0.001269482,0.007290014,0.7035261,0.0006445116,0.001598323,0.1966304,0.07302003],"study_design_scores_gemma":[0.004282758,0.0002013893,0.002962243,0.002091617,0.0001938942,0.002625144,0.01401886,0.01786898,0.05058488,0.003246468,0.8964417,0.005482051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4080959,0.002415353,0.5094059,0.0002918861,0.01881051,0.0008619704,0.002316472,0.01050982,0.04729213],"genre_scores_gemma":[0.9964448,0.00001979481,0.001025568,0.0001482285,0.0002227553,0.0000473016,0.0001476045,0.0000978106,0.001846089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6998113,"threshold_uncertainty_score":0.9999458,"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."}}