{"id":"W4317435210","doi":"10.1016/b978-0-12-820588-4.00020-7","title":"Current status and future trends in the world nuclear-power industry","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Nuclear power; Climate change; Electricity; Electricity demand; Wind power; Tidal power; Natural resource economics; Electricity generation; Environmental economics; Environmental science; Power (physics); Engineering; Business; Economics; Electrical engineering; Geology; 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"],"consensus_categories":[],"category_scores_codex":[0.0000867054,0.0003663879,0.0003079577,0.0003158051,0.00003806651,0.00008299413,0.0001873232,0.0002756951,0.0001582662],"category_scores_gemma":[8.918731e-7,0.0003039166,0.00009457456,0.0000692625,0.00003479026,0.00003986965,0.00007042496,0.001908247,0.00007152087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006721544,"about_ca_system_score_gemma":0.000008403777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.852311e-7,"about_ca_topic_score_gemma":0.0000276935,"domain_scores_codex":[0.9989761,0.00000657896,0.0002306277,0.0002298529,0.0002094476,0.0003474518],"domain_scores_gemma":[0.9994887,0.00002466216,0.0000342098,0.0003461814,0.00001075518,0.00009553861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001477283,0.000002463941,0.000004128469,0.00006090488,0.00003967298,0.00001711799,0.0004854996,0.0000199821,0.000006483014,0.0294384,0.001299966,0.9686239],"study_design_scores_gemma":[0.0001125082,0.000009323257,0.000635246,0.0002003897,0.00002461575,0.000002609456,0.00002909709,0.00009765595,3.806206e-7,0.0008735005,0.9976854,0.0003292538],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006153815,0.001474274,8.48032e-8,0.00004114454,0.00106296,0.0001130043,0.00003609137,0.000237135,0.9964199],"genre_scores_gemma":[0.0422273,0.00199178,0.00003141983,0.0001175268,0.002654408,0.00003321152,0.00007030553,0.0008258839,0.9520482],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9963855,"threshold_uncertainty_score":0.9999413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265787728773874,"score_gpt":0.2214441513399012,"score_spread":0.2087862740521624,"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."}}