{"id":"W2254579368","doi":"10.1016/j.enpol.2016.01.011","title":"Historical construction costs of global nuclear power reactors","year":2016,"lang":"en","type":"article","venue":"Energy Policy","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":314,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Atomic Energy Agency","keywords":"Nuclear power; Scope (computer science); Cost estimate; Economics; Business; Computer science; Nuclear physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000468017,0.0002816052,0.0001907395,0.003277904,0.000306232,0.001188463,0.0003170802,0.0002570113,0.002825789],"category_scores_gemma":[0.003466414,0.0002128119,0.0002601051,0.005723771,0.0004665244,0.001322853,0.000608574,0.0004703796,0.0004869892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002193013,"about_ca_system_score_gemma":0.0003969625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01712719,"about_ca_topic_score_gemma":0.03301965,"domain_scores_codex":[0.9994565,0.00007175317,0.00005852628,0.0001052245,0.0002112272,0.00009680478],"domain_scores_gemma":[0.9978021,0.0003610087,0.001015396,0.0001391189,0.0005715514,0.0001108216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002685512,0.00007136022,0.8503001,0.0004330328,0.000183597,0.0004278454,0.001895337,0.02524454,0.001284932,0.01768281,0.009841308,0.09236673],"study_design_scores_gemma":[0.000003697241,0.00007424685,0.9577437,0.000089337,0.00004851053,0.0004367093,0.001274942,0.001965218,0.0009677942,0.001032845,0.03632554,0.00003745352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710651,0.001747116,0.0007881413,0.0002545672,0.00002053803,0.00001104317,0.006240076,0.0000264075,0.01984709],"genre_scores_gemma":[0.991266,0.001678619,0.0005134168,0.00003203544,0.00002827247,0.00001289989,0.004571285,0.00002525681,0.001872354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01712719,"threshold_uncertainty_score":0.03405499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00382951514110156,"score_gpt":0.180372489957132,"score_spread":0.1765429748160304,"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."}}