{"id":"W2904578687","doi":"10.1115/iowtc2018-1099","title":"Comparison of Seabed Friction Formulations in a Lumped-Mass Mooring Model","year":2018,"lang":"en","type":"article","venue":"","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"National Renewable Energy Laboratory; Natural Sciences and Engineering Research Council of Canada","keywords":"Mooring; Seabed; Offshore wind power; Marine engineering; Submarine pipeline; Engineering; Geology; Turbine; Geotechnical engineering; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00005013727,0.00005491801,0.0001130908,0.00008893332,0.0000197611,0.00000563191,0.00004046287,0.00004652725,0.0000172199],"category_scores_gemma":[0.000003216984,0.00005367639,0.00002131694,0.0001463039,0.000006651645,0.0001079325,0.000006337793,0.00004145176,0.00001275899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003305087,"about_ca_system_score_gemma":0.000004539963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001298288,"about_ca_topic_score_gemma":0.0002573612,"domain_scores_codex":[0.9995613,0.000004434381,0.000201218,0.00005776126,0.0000674175,0.0001079448],"domain_scores_gemma":[0.999835,0.000009369635,0.00001067403,0.00009859708,0.0000249854,0.0000213456],"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":[0.000001583974,0.00001120602,0.009079253,0.00001929425,0.000009300118,6.829778e-8,0.000729478,0.94085,0.04680024,0.001687239,0.0003441313,0.0004681659],"study_design_scores_gemma":[0.0001226639,0.00001199869,0.002633039,0.00001535916,0.000002714077,1.366077e-7,0.0001158402,0.9633049,0.03336096,0.0002097551,0.0001644444,0.00005816112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7347005,0.00001646679,0.2177252,0.000005625665,0.0001497056,0.00004116808,9.472007e-7,0.00008798351,0.04727236],"genre_scores_gemma":[0.9973319,0.000001394412,0.002248706,0.000002949939,0.00007263153,0.000006257779,0.000003127793,0.00001019175,0.0003228891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2626314,"threshold_uncertainty_score":0.218886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03670699269208959,"score_gpt":0.2845268309332844,"score_spread":0.2478198382411948,"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."}}