{"id":"W4402127270","doi":"10.2139/ssrn.4944116","title":"Dynamic Modeling and Optimal Control Schemes for an Offshore-Wind Driven Direct Air Capture System Including Energy Storage","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Offshore wind power; Marine engineering; Submarine pipeline; Control (management); Wind power; Computer science; Energy storage; System dynamics; Environmental science; Engineering; Electrical engineering; Physics; Power (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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001137968,0.000651913,0.0008925321,0.0003884698,0.0002575602,0.0002564311,0.000426348,0.0006255007,0.000001020844],"category_scores_gemma":[0.00001325873,0.0006091016,0.000342355,0.0001082113,0.00002713316,0.0001714982,0.0001938771,0.003312495,0.000001819639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002610996,"about_ca_system_score_gemma":0.0009172073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001910509,"about_ca_topic_score_gemma":0.000860627,"domain_scores_codex":[0.9961612,0.0001031784,0.0006744041,0.0005906045,0.0003203775,0.002150288],"domain_scores_gemma":[0.9991063,0.00005005973,0.0001540504,0.0003515799,0.0001188332,0.0002191211],"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":[0.00004187054,0.00001103397,0.0000125952,0.0006055401,0.001311589,0.00001750497,0.0003014024,0.9853576,0.0006705693,0.01033106,0.00003776381,0.001301445],"study_design_scores_gemma":[0.0006603471,0.0001242185,0.000001425019,0.0007443239,0.0003044001,0.0004979101,0.001816155,0.9897032,0.00003531521,0.004776542,0.0007105389,0.0006256671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4748491,0.06639516,0.4542162,0.00009691876,0.002386892,0.0004343988,0.0001324783,0.0006352249,0.0008537102],"genre_scores_gemma":[0.9961093,0.001583364,0.0003300453,0.00001395826,0.001225149,0.00006517107,0.00007386255,0.0002457375,0.0003533987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5212603,"threshold_uncertainty_score":0.9996361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008957111376778714,"score_gpt":0.2231175466527409,"score_spread":0.2141604352759622,"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."}}