{"id":"W2619316467","doi":"","title":"Computationally Efficient Simulation of Flexible Risers via Nonlinear Dynamic Substructures: Numerical and Experimental Validation","year":2016,"lang":"en","type":"article","venue":"The 26th International Ocean and Polar Engineering Conference","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Intecsea (Canada)","funders":"","keywords":"Nonlinear system; Computer science; Model validation; Structural engineering; Engineering; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00006356131,0.0001251811,0.0001032437,0.00009904383,0.00002614242,0.00002473243,0.0001266253,0.00004859819,0.00001757428],"category_scores_gemma":[0.00002959682,0.00008813051,0.00002232351,0.00006336175,0.0000496577,0.00006963195,0.00003697204,0.00008015177,0.000002045481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003205375,"about_ca_system_score_gemma":0.000005998147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003673945,"about_ca_topic_score_gemma":1.305675e-7,"domain_scores_codex":[0.9994662,0.00000605364,0.0001644293,0.0001131651,0.0001421666,0.0001079722],"domain_scores_gemma":[0.9996779,0.0001210218,0.00002976843,0.00009123651,0.00004589429,0.00003417172],"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":[0.000009169635,0.00000853202,0.0002456939,0.00001725402,0.00005456556,7.203583e-7,0.0002461153,0.9805694,0.01415544,0.002421551,0.000005497929,0.002266101],"study_design_scores_gemma":[0.0002167817,0.00002429844,0.005198317,0.00004553541,0.000008396992,0.000009192269,0.00003318574,0.9777646,0.01626678,0.0001035878,0.0002123539,0.0001169527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.680299,0.0002743254,0.3188216,0.00008015094,0.0002221466,0.00005687561,0.00002427432,0.0001829149,0.00003859447],"genre_scores_gemma":[0.9980885,0.00002467472,0.001803323,0.000003572109,0.00002856739,0.000002032582,0.00001141893,0.00001623721,0.00002169189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3177894,"threshold_uncertainty_score":0.3593858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006577234550438731,"score_gpt":0.2248000982735146,"score_spread":0.2182228637230759,"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."}}