{"id":"W4386697161","doi":"10.2172/1999387","title":"Electrical Infrastructure Cost Model for Marine Energy Systems","year":2023,"lang":"en","type":"report","venue":"","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Energy Efficiency; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; Water Power Technologies Office; National Renewable Energy Laboratory; McMaster University","keywords":"Sizing; Flexibility (engineering); Offshore wind power; Wind power; Renewable energy; Scale (ratio); Cost estimate; Submarine pipeline; Engineering; Reliability engineering; Computer science; Systems engineering; Electrical engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003590228,0.0003412483,0.0004584375,0.00008602835,0.0001646596,0.00004488978,0.0003942805,0.0004940341,0.005294294],"category_scores_gemma":[0.00005889434,0.0002630751,0.0001977701,0.0003625626,0.00006989664,0.00005029685,0.0001947848,0.0002610739,0.00009107831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005388769,"about_ca_system_score_gemma":0.0002866331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005483,"about_ca_topic_score_gemma":0.0004530442,"domain_scores_codex":[0.9973592,0.00001243038,0.0005017144,0.0006517764,0.0009035123,0.0005714068],"domain_scores_gemma":[0.9990869,0.00006558094,0.0001405043,0.0004218515,0.00004153276,0.0002437013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001422049,0.00005084655,0.001935273,0.0001012745,0.00002398227,0.00001664686,0.00000965713,0.1453286,0.00003059477,0.0004210717,0.8132363,0.03883154],"study_design_scores_gemma":[0.00009739566,0.00002514493,0.0007885342,0.00001673401,0.00003434648,0.00001868498,0.000002263036,0.5645689,0.000003374101,0.0003046105,0.4338845,0.0002554797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001178542,0.00009335003,0.1799833,0.0000804466,0.00104597,0.0009666268,0.0002640932,0.0003701802,0.8170782],"genre_scores_gemma":[0.02689571,0.001329441,0.002323973,0.00009981864,0.0003488971,0.0004891944,0.001213922,0.0001438519,0.9671552],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4192403,"threshold_uncertainty_score":0.9999821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03598562294279147,"score_gpt":0.2807942124513009,"score_spread":0.2448085895085094,"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."}}