{"id":"W4407177698","doi":"10.1016/j.oceaneng.2025.120576","title":"Performance analysis of the passive heave compensation system for dual barge float-over operation","year":2025,"lang":"en","type":"article","venue":"Ocean Engineering","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Key Technology Research and Development Program of Shandong; Technische Universiteit Delft; Norges Teknisk-Naturvitenskapelige Universitet; National Natural Science Foundation of China; Liaoning Medical University; Science Foundation Ireland; Providence Health Care","keywords":"BARGE; Float (project management); Compensation (psychology); Dual (grammatical number); Marine engineering; Engineering; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009673094,0.0001125429,0.0002152133,0.0001901727,0.00005296456,0.00001885271,0.00008686326,0.00005914559,0.000002818013],"category_scores_gemma":[0.00001050874,0.00009364445,0.0001165849,0.0005028088,0.000006014711,0.00008756397,0.00001551607,0.00005789933,9.040793e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001116639,"about_ca_system_score_gemma":0.00001071593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001051471,"about_ca_topic_score_gemma":0.000006236605,"domain_scores_codex":[0.9994087,0.000008031052,0.0002459019,0.0001003193,0.00009692022,0.0001401846],"domain_scores_gemma":[0.9996757,0.0000394355,0.00002742441,0.0001952422,0.00004216311,0.00002001548],"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":[0.000002541099,0.000002725421,0.001362784,0.0003009714,0.0003707265,1.412462e-7,0.0001117532,0.9899946,0.005262201,0.002189769,0.000267975,0.0001338006],"study_design_scores_gemma":[0.0001661488,0.000006173513,0.02485678,0.0001149479,0.0002001995,4.871493e-7,0.00005868822,0.9506301,0.02286099,4.022133e-7,0.001016453,0.00008861679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952374,0.00007726355,0.04527543,0.00001991874,0.001003121,0.0002002233,0.00002851034,0.0001414709,0.0008800093],"genre_scores_gemma":[0.9995584,0.00000446987,0.0001509657,0.000006711707,0.00008150013,0.00001304611,0.00002916811,0.00001610319,0.0001395997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04718439,"threshold_uncertainty_score":0.381871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004570539480852138,"score_gpt":0.1789271184529235,"score_spread":0.1743565789720713,"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."}}