{"id":"W2088308240","doi":"10.1115/1.4027718","title":"Nonlinear Hydrostatic Restoring of Floating Platforms","year":2014,"lang":"en","type":"article","venue":"Journal of Computational and Nonlinear Dynamics","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Buoyancy; Hydrostatic equilibrium; Restoring force; BARGE; Cylinder; Fictitious force; Structural engineering; Offshore wind power; Engineering; Stiffness; Displacement (psychology); Nonlinear system; Tension (geology); Mechanics; Turbine; Marine engineering; Physics; Mechanical engineering; Classical mechanics; Moment (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000957329,0.000409338,0.0002089148,0.000566695,0.0003428195,0.0003764197,0.0004257082,0.0002821008,0.001717302],"category_scores_gemma":[0.000527312,0.0001866191,0.0003214748,0.0001872012,0.000669471,0.0005170233,0.0007728287,0.0002557252,0.0003771003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003021634,"about_ca_system_score_gemma":0.0006070894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004519046,"about_ca_topic_score_gemma":0.004015544,"domain_scores_codex":[0.9999193,0.00000673675,0.000002435282,0.00001000367,0.00004860518,0.0000129101],"domain_scores_gemma":[0.9999131,0.00002027815,0.00001993895,0.00001146369,0.00002746513,0.000007797134],"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":[0.00003692331,0.00001974347,0.001637258,0.0001170315,0.00001181115,0.0006321764,0.0002437766,0.8668349,0.03297761,0.05788173,0.0008486438,0.0387583],"study_design_scores_gemma":[0.000003055035,0.00001776632,0.0008505833,0.000008644856,0.000002776039,0.0001117892,0.00005551469,0.9904383,0.002362452,0.004733927,0.001405653,0.000009579092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4165545,0.00059129,0.5030075,0.0002843802,0.0001117478,0.00008580624,0.0002579091,0.0004684656,0.07863832],"genre_scores_gemma":[0.9753335,0.000417893,0.0124397,0.0000296016,0.00002791572,0.00003386333,0.00007077095,0.00005776421,0.011589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004519046,"threshold_uncertainty_score":0.00898546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00630751499094323,"score_gpt":0.201943083381272,"score_spread":0.1956355683903287,"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."}}