{"id":"W4384498269","doi":"10.1080/00295450.2023.2217390","title":"Optimizing the Implementation of Small Modular Reactors into Ontario’s Future Energy Mix","year":2023,"lang":"en","type":"article","venue":"Nuclear Technology","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Mitacs","keywords":"Renewable energy; Nuclear decommissioning; Modular design; Variable renewable energy; Software deployment; Computer science; Wind power; Environmental science; Energy mix; Electricity generation; Environmental economics; Energy storage; Power (physics); Engineering; Waste management; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005293115,0.0004575271,0.0002636799,0.0003646608,0.0004708567,0.0006901852,0.0005344541,0.0002597879,0.003169301],"category_scores_gemma":[0.0008765825,0.000306518,0.0003189812,0.0004233362,0.0003400276,0.0006534866,0.0003323364,0.0003328701,0.0002799258],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006464956,"about_ca_system_score_gemma":0.004570661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.242778,"about_ca_topic_score_gemma":0.4723404,"domain_scores_codex":[0.9997132,0.00004808098,0.000004547722,0.0000288799,0.0001057534,0.00009951747],"domain_scores_gemma":[0.9998227,0.00005643559,0.0000236978,0.00001338078,0.00006316635,0.00002070212],"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":[0.0001811108,0.00003263224,0.004395375,0.00005173445,0.00001603077,0.0001005931,0.00004448824,0.9657437,0.008546598,0.003123324,0.0006903743,0.01707404],"study_design_scores_gemma":[0.00006322064,0.0003715461,0.01587515,0.00001515259,0.00004208801,0.0000552058,0.0002922418,0.9552218,0.01600855,0.00197677,0.01004358,0.00003470121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9030032,0.0001618246,0.04291032,0.0002334983,0.00001966726,0.0002237227,0.0009394623,0.0003359068,0.05217242],"genre_scores_gemma":[0.9900205,0.00004579443,0.005791305,0.00001238244,0.000001290468,0.00002679478,0.0001535755,0.00003668312,0.003911642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.993535,"threshold_uncertainty_score":0.4827296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043713966877093,"score_gpt":0.2608560398808048,"score_spread":0.2504189002120339,"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."}}