{"id":"W4411011143","doi":"10.1016/j.apor.2025.104646","title":"Numerical study on removal of offshore wind turbine monopile foundations using hydraulic pressure","year":2025,"lang":"en","type":"article","venue":"Applied Ocean Research","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"Equinor; Universitetet i Stavanger","keywords":"Offshore wind power; Hydraulic turbines; Turbine; Submarine pipeline; Geotechnical engineering; Marine engineering; Geology; Engineering; Environmental science; Mechanical engineering","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":[0.0003514918,0.0001677626,0.0002653075,0.0003461604,0.000142977,0.0000469254,0.0003299494,0.0001257891,0.00002899218],"category_scores_gemma":[0.00007364732,0.0001589389,0.00005189946,0.0008881002,0.00007973737,0.00003339689,0.00008428094,0.0007123473,0.000007894289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007409351,"about_ca_system_score_gemma":0.00004896828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004613362,"about_ca_topic_score_gemma":0.000001345979,"domain_scores_codex":[0.9985205,0.00004490737,0.0002807539,0.0002775057,0.0004843185,0.0003920266],"domain_scores_gemma":[0.9991016,0.0002329525,0.00001637425,0.0004926577,0.00007701368,0.00007933712],"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":[0.00005112296,0.0001783583,0.000177639,0.00015478,0.0001909712,0.00001402262,0.0002055998,0.9791906,0.005555647,0.01071187,0.001636266,0.001933068],"study_design_scores_gemma":[0.003115421,0.0006912918,0.04479076,0.0002543866,0.0001894794,0.00002820632,0.001670465,0.8702965,0.01711702,0.01397641,0.04687759,0.0009924674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543023,0.0002701992,0.008544181,0.0001042294,0.0001817445,0.0008907939,0.000009602918,0.0003464821,0.03535054],"genre_scores_gemma":[0.9989881,0.000004670346,0.0005434713,0.00001037987,0.00006351342,0.000008455725,0.000007874143,0.00003208726,0.000341437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1088942,"threshold_uncertainty_score":0.6481339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0352475185876405,"score_gpt":0.3221521351205859,"score_spread":0.2869046165329454,"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."}}