{"id":"W2755842769","doi":"10.12943/cnr.2017.00007","title":"POTENTIAL OFF-GRID MARKETS FOR SMRS IN CANADA","year":2017,"lang":"en","type":"article","venue":"CNL Nuclear Review","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Cogeneration; Grid; Nuclear power; Environmental economics; Electricity; Business; Base load power plant; Electricity market; Modular design; Distributed generation; Range (aeronautics); Electricity generation; Renewable energy; Power (physics); Economics; Engineering; Computer science; Electrical engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001240394,0.0001162086,0.0003057639,0.00001682809,0.0001637183,0.00003009595,0.0002330856,0.00002475594,0.0001251233],"category_scores_gemma":[0.00007733467,0.0001073855,0.00009831343,0.00002597326,0.00002450449,0.00009948443,0.00005042635,0.0001037315,0.00003966933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001591519,"about_ca_system_score_gemma":0.00003816918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02962923,"about_ca_topic_score_gemma":0.1177562,"domain_scores_codex":[0.999401,0.00001106936,0.0001551924,0.000125235,0.00008891009,0.000218605],"domain_scores_gemma":[0.9995381,0.00001854261,0.00003867205,0.0003371287,0.00001540831,0.00005214555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001526392,0.00001772512,0.0003733974,0.005293708,0.0001394773,0.00004722184,0.00003779931,0.00008522598,0.0001060795,0.0001421148,0.6057332,0.3880089],"study_design_scores_gemma":[0.0002087643,0.000007013276,0.02942034,0.0009195152,0.0000396802,0.000008359999,0.00001641048,0.001530266,0.000005223672,0.00001213647,0.9676629,0.0001694305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2584874,0.6142258,0.00005427747,0.01401706,0.01031106,0.003890858,0.0002722517,0.0005225629,0.09821874],"genre_scores_gemma":[0.7876412,0.2105384,0.000395469,0.0007461815,0.0002974425,0.0000266931,0.000004877424,0.0001059502,0.000243765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5291538,"threshold_uncertainty_score":0.9768326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009807922038002737,"score_gpt":0.2172683155078731,"score_spread":0.2074603934698704,"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."}}