{"id":"W4409180183","doi":"10.1016/j.oceaneng.2025.121025","title":"Framework for a physics-based digital twin of a towed cable-body system","year":2025,"lang":"en","type":"article","venue":"Ocean Engineering","topic":"Electric Power Systems and Control","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Carleton University","keywords":"Engineering; Marine engineering; Aerospace engineering; Systems engineering; Physics; Computer science","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":[0.000557592,0.0007267839,0.0006352785,0.000619142,0.0004716792,0.001069448,0.001765818,0.0009793876,0.003947169],"category_scores_gemma":[0.0009266836,0.0004309143,0.0009306978,0.0003789427,0.000928871,0.001166726,0.001665947,0.001088378,0.001077362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000666512,"about_ca_system_score_gemma":0.001264456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004370299,"about_ca_topic_score_gemma":0.003455889,"domain_scores_codex":[0.9996341,0.00006211179,0.00002401612,0.00007975068,0.0001762759,0.00002368633],"domain_scores_gemma":[0.9997441,0.00006865283,0.00003580639,0.00004925957,0.00007337709,0.00002882001],"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":[0.00003802216,0.00004993245,0.0008318926,0.0001705972,0.00003636403,0.0002040663,0.0001672007,0.8425778,0.01893859,0.09124786,0.0007769561,0.04496083],"study_design_scores_gemma":[0.000005225426,0.00004677473,0.0001174847,0.00001276052,0.000007509007,0.00005204213,0.00001781857,0.9880781,0.001424431,0.006092146,0.0041352,0.00001051426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001122745,0.00002699699,0.997684,0.00002452793,0.000009612734,0.00002910572,0.00002568385,0.0001640018,0.0009132693],"genre_scores_gemma":[0.1945179,0.0004390006,0.796702,0.00005922358,0.00004315331,0.0003996056,0.0003116481,0.0001676879,0.007359846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004370299,"threshold_uncertainty_score":0.01320457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003592135377446808,"score_gpt":0.1905918214909542,"score_spread":0.1869996861135073,"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."}}