{"id":"W4413391326","doi":"10.1115/omae2025-156485","title":"Analysis of Key Operating Parameters for Water Electrolysis Integrated With Offshore Wind Power","year":2025,"lang":"en","type":"article","venue":"","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Key (lock); Offshore wind power; Submarine pipeline; Marine engineering; Wind power; Power (physics); Environmental science; Electrolysis; Computer science; Electrical engineering; Engineering; Oceanography; Geology; Operating system; Chemistry; 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":[0.0002111673,0.0001992486,0.0006105158,0.0005441356,0.00008278286,0.00004988724,0.0001817306,0.0001124734,0.0002784053],"category_scores_gemma":[0.00002470674,0.0001032481,0.0002643623,0.001208046,0.00004194108,0.00007426558,0.00002876565,0.00006379117,0.000001652967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004998417,"about_ca_system_score_gemma":0.00005949947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008576493,"about_ca_topic_score_gemma":0.009630231,"domain_scores_codex":[0.9986929,0.000059996,0.0004239013,0.0003291266,0.0001437928,0.0003502874],"domain_scores_gemma":[0.9992346,0.00007729148,0.00006679567,0.0003627862,0.0002086723,0.00004987239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003945761,0.0002101396,0.009198761,0.00007364446,0.02412305,0.000006528669,0.00122503,0.7906237,0.141072,0.02905041,0.001585109,0.002437127],"study_design_scores_gemma":[0.001691441,0.0004854638,0.0008192404,0.000109256,0.003537107,0.000002069841,0.002003541,0.08197373,0.8557456,0.000135289,0.05291877,0.0005785263],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.90868,0.0001026196,0.0403313,0.0001923311,0.0001466674,0.0001800686,0.00001133478,0.00007315944,0.0502825],"genre_scores_gemma":[0.9801614,0.000003201812,0.002251602,0.0002580048,0.000009391778,0.00003311434,0.0001148899,0.00001818223,0.01715017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7146736,"threshold_uncertainty_score":0.9980255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006035905849724421,"score_gpt":0.2212916669578736,"score_spread":0.2152557611081491,"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."}}