{"id":"W2686727287","doi":"10.1299/jsmeicone.2015.23._icone23-1_30","title":"ICONE23-1053 OPPORTUNITIES AND NEED TO FURTHER UPGRADE CANDU REACTORS FOR IMPROVED SEVERE ACCIDENT MITIGATION AND REDUCTION OF RISK","year":2015,"lang":"en","type":"article","venue":"The Proceedings of the International Conference on Nuclear Engineering (ICONE)","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Nuclear Safety Commission","keywords":"Blackout; Operability; Environmental science; Decay heat; Risk analysis (engineering); Loss-of-coolant accident; Nuclear engineering; Coolant; Forensic engineering; Engineering; Reliability engineering; Business; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001656923,0.0001478595,0.0001574986,0.00009093575,0.00003173235,0.00006615298,0.0002270249,0.00004529965,0.000004346471],"category_scores_gemma":[0.0001002761,0.0001143655,0.00004099608,0.00007375152,0.00003504809,0.0001629504,0.00007341737,0.0001619739,5.649118e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005754482,"about_ca_system_score_gemma":0.00001107212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007222236,"about_ca_topic_score_gemma":0.000001513411,"domain_scores_codex":[0.9994006,0.000002342582,0.0001988712,0.0001198102,0.0001543815,0.0001240447],"domain_scores_gemma":[0.9995279,0.00003074372,0.00008855262,0.00007676632,0.0001976925,0.00007834032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000167108,0.00003223552,0.0002320499,0.0001730067,0.0003154169,1.278845e-7,0.007842026,0.01913137,0.8589163,0.1057596,0.0009613125,0.00646946],"study_design_scores_gemma":[0.001805007,0.0004321305,0.01034351,0.0008421966,0.0001860822,0.00005506326,0.01040042,0.8984348,0.06237116,0.004174121,0.01007221,0.0008833317],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997367,0.00001980389,0.00005639135,0.00101458,0.0003741701,0.0002262574,0.00002594648,0.00007744389,0.0008383609],"genre_scores_gemma":[0.9993225,0.0001176888,0.0003524502,0.00001134677,0.00009861992,0.00001105277,0.000002066178,0.00004570194,0.00003855923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8793034,"threshold_uncertainty_score":0.4663689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03252349116574104,"score_gpt":0.2130302878244,"score_spread":0.1805067966586589,"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."}}