{"id":"W4402033188","doi":"10.1016/j.marstruc.2024.103684","title":"Structural strength and fatigue analyses of large-scale underwater compressed hydrogen energy storage accumulator","year":2024,"lang":"en","type":"article","venue":"Marine Structures","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Accumulator (cryptography); Underwater; Hydrogen storage; Energy storage; Scale (ratio); Compressive strength; Structural engineering; Marine engineering; Environmental science; Forensic engineering; Engineering; Geology; Materials science; Computer science; Metallurgy; Composite material; Physics; Oceanography","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":[0.0001349282,0.0001830563,0.0001800495,0.0005699625,0.0003097063,0.0001055955,0.0003604048,0.0003279865,0.0009811915],"category_scores_gemma":[0.0002326744,0.000131393,0.0001972969,0.0002746583,0.0002826885,0.0002523296,0.000174381,0.0001610423,0.0001235081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002749512,"about_ca_system_score_gemma":0.0002027686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004634986,"about_ca_topic_score_gemma":0.008720267,"domain_scores_codex":[0.9999462,0.000003831576,0.000002876039,0.00001029308,0.00002702522,0.000009711883],"domain_scores_gemma":[0.9997852,0.00003959526,0.00003075972,0.00001609,0.0001092193,0.00001914558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006877892,0.000221771,0.06456182,0.0001406452,0.00004881937,0.0005874914,0.000416842,0.07115305,0.8322581,0.0004683422,0.0004550401,0.02900035],"study_design_scores_gemma":[0.00002377968,0.001144681,0.3761483,0.00001435373,0.00004782386,0.0002750487,0.0007388187,0.3255054,0.2947876,0.0002009593,0.001070948,0.0000421344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992986,0.0000137102,0.0003942518,0.00000724439,9.461491e-7,0.000001890086,0.00005187358,0.000009520755,0.0002218944],"genre_scores_gemma":[0.9994917,0.000007883021,0.0001727429,0.000001612892,4.417579e-7,0.000002416244,0.00005230649,0.000001761416,0.0002690445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004634986,"threshold_uncertainty_score":0.009216011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02090301762949327,"score_gpt":0.2825595156389935,"score_spread":0.2616564980095002,"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."}}