{"id":"W4384202126","doi":"10.3390/en16145329","title":"Planning and Evaluation of Nuclear-Renewable Hybrid Energy Penetration for Marine and Waterfront Applications","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ontario Institute of Technology","keywords":"Renewable energy; Environmental economics; Port (circuit theory); Cash flow; Energy planning; Net present value; Energy consumption; Carbon tax; Internal rate of return; Business; Fossil fuel; Natural resource economics; Greenhouse gas; Engineering; Economics; Waste management; Production (economics); Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002448042,0.0000501477,0.00006028103,0.00002949554,0.0001192096,0.00001226316,0.0000400928,0.00001750037,0.0003176541],"category_scores_gemma":[0.000006233005,0.00004434633,0.00001111106,0.00007634442,0.00005531115,0.00007506418,0.00004681688,0.00001195157,0.000002190457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001265933,"about_ca_system_score_gemma":0.000005177044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008326869,"about_ca_topic_score_gemma":0.00008178496,"domain_scores_codex":[0.9995177,0.0000105947,0.0001013926,0.0001416806,0.0001366497,0.00009193704],"domain_scores_gemma":[0.9998289,0.00002446751,0.00002853374,0.00007802917,0.000009826394,0.00003021623],"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":[0.00003652689,0.0000708454,0.03077699,0.00006225509,0.00001514617,8.283927e-7,0.0007469825,0.6606885,0.08925596,0.002653726,0.005740026,0.2099523],"study_design_scores_gemma":[0.0008607651,0.000136285,0.1963574,0.00002587354,0.00008704671,0.00000567789,0.0004839426,0.6634248,0.02264714,0.01133308,0.1043499,0.0002880743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918967,0.00007601002,0.001068774,0.0000971176,0.00001666549,0.0001262169,0.000006920339,0.00003313504,0.006678465],"genre_scores_gemma":[0.9978999,0.0000606582,0.00102483,0.00001299077,0.00001223535,0.00007382066,0.00006007442,0.000006236959,0.000849227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2096642,"threshold_uncertainty_score":0.347809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758347102055585,"score_gpt":0.2510527541452518,"score_spread":0.2334692831246959,"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."}}