{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003015315,0.00009338831,0.0002310928,0.0001186819,0.00003537925,0.00001560022,0.00007424523,0.00004614891,0.000001879597],"category_scores_gemma":[0.0000420395,0.0000784401,0.00006060987,0.00009676703,0.00002576563,0.0001333445,0.00001403004,0.000142377,0.000001228269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003312135,"about_ca_system_score_gemma":0.00002395973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000585834,"about_ca_topic_score_gemma":0.000006274847,"domain_scores_codex":[0.9991022,0.00001058496,0.0004964329,0.00005133845,0.000237139,0.0001023245],"domain_scores_gemma":[0.9993971,0.0001719273,0.0001748155,0.00005035506,0.0001386678,0.00006715057],"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":[0.00001245551,0.00001997434,0.001048243,0.0001094283,0.000052019,0.000003740953,0.0001996233,0.9908385,0.0002219278,0.0009539638,0.00001803971,0.006522064],"study_design_scores_gemma":[0.0003705083,0.0001053644,0.0009947642,0.0001156694,0.00001438898,0.00008936763,0.00008092543,0.9949533,0.0001865055,0.002470665,0.0005338755,0.00008466704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259269,0.0001126757,0.07307936,0.00002948155,0.0003180869,0.00002208595,0.000009055062,0.00001387996,0.0004884845],"genre_scores_gemma":[0.9411289,0.0000258736,0.05836326,0.00001561409,0.0004069095,1.480382e-7,0.00001665872,0.00001705813,0.00002558884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.015202,"threshold_uncertainty_score":0.3198695,"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."}}