{"id":"W2936748983","doi":"10.5957/jsr.2020.64.2.127","title":"Influence of Ship Speed and Heading Profiles on Fatigue Damage Accumulation for a Naval Vessel","year":2020,"lang":"en","type":"article","venue":"Journal of Ship Research","topic":"Ship Hydrodynamics and Maneuverability","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Seakeeping; Heading (navigation); Crew; Ship motions; Response amplitude operator; Marine engineering; Baseline (sea); Naval architecture; Hull; Structural engineering; Environmental science; Computer science; Engineering; Geology; Geodesy; Aeronautics","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":[0.001483765,0.00008125237,0.0002025183,0.000162398,0.00005427162,0.00004713481,0.000180408,0.00006433376,0.000005550857],"category_scores_gemma":[0.001194119,0.00007236064,0.0000501432,0.0002369609,0.0000623228,0.0002159796,0.00003535367,0.0004611665,9.889715e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006880361,"about_ca_system_score_gemma":0.00005804807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009662782,"about_ca_topic_score_gemma":0.000003173913,"domain_scores_codex":[0.998835,0.00008115957,0.0003354486,0.0001074776,0.0004307514,0.000210172],"domain_scores_gemma":[0.9988641,0.0005173601,0.00007104842,0.0001021771,0.0003003188,0.0001449533],"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":[0.00114374,0.0001193959,0.06199352,0.003002173,0.0001273303,0.00003373106,0.006244697,0.4982825,0.421919,0.003379311,0.0008418505,0.002912745],"study_design_scores_gemma":[0.0014127,0.001289416,0.2697845,0.0004532214,0.00001965548,0.00001063864,0.0005724836,0.6810721,0.04063256,0.004329913,0.000212217,0.0002107052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998345,0.00006837321,0.0004952186,0.0006054539,0.00004487113,0.000252891,0.000007760907,0.00001174909,0.0001686971],"genre_scores_gemma":[0.9993155,0.00003507607,0.0004849168,0.00001915378,0.0001173415,0.000002700266,0.000001576935,0.00001695145,0.000006798846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3812865,"threshold_uncertainty_score":0.2950782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2149744312205843,"score_gpt":0.4158265835290565,"score_spread":0.2008521523084722,"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."}}