{"id":"W4281400630","doi":"10.1109/cscwd54268.2022.9776083","title":"Transfer Learning-enabled Modelling Framework for Digital Twin","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Regional Municipality of Niagara; Brock University; National Research Council Canada","funders":"","keywords":"Computer science; Key (lock); Data modeling; Transfer of learning; Data science; Machine learning; Artificial intelligence; Software engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004462844,0.0003467827,0.0003545929,0.0003021266,0.0002346766,0.0002824501,0.0005468025,0.0001216781,0.001433324],"category_scores_gemma":[0.00004636231,0.0003785195,0.0001227709,0.000541236,0.00005481618,0.0004569309,0.00006030679,0.0009773026,0.00002721617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003596572,"about_ca_system_score_gemma":0.0001223877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000453186,"about_ca_topic_score_gemma":0.000002157089,"domain_scores_codex":[0.9978055,0.000181228,0.0005602559,0.0005628495,0.000454888,0.0004352364],"domain_scores_gemma":[0.9990808,0.0002496138,0.00005612889,0.0002282988,0.0002926546,0.00009250249],"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":[0.0004062036,0.0001285287,0.0000699244,0.00001304088,0.00009820212,0.00001869082,0.0009894106,0.9509378,0.0001169789,0.04355185,0.001674323,0.001995058],"study_design_scores_gemma":[0.0008349086,0.0004322968,0.00001354253,0.00009771341,0.0000098931,0.000005900814,0.0002545272,0.9920459,0.0005015794,0.002850772,0.002537235,0.0004157696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0123575,0.00002305298,0.982944,0.000248938,0.001838885,0.0008736397,0.00007954826,0.0002373837,0.001397052],"genre_scores_gemma":[0.9602401,0.00007650775,0.03688863,0.0003168744,0.0002079976,0.0007800863,0.0003490238,0.0000746165,0.00106617],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9478826,"threshold_uncertainty_score":0.9998667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04403060809417175,"score_gpt":0.2513910482085795,"score_spread":0.2073604401144078,"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."}}