{"id":"W2905570512","doi":"10.12943/cnr.2017.00020","title":"CANDU FIRE PROBABILISTIC RISK ASSESSMENT (PRA) MODEL","year":2018,"lang":"en","type":"article","venue":"CNL Nuclear Review","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Nuclear power plant; Probabilistic risk assessment; Firefighting; Probabilistic logic; Engineering; Risk assessment; Nuclear power; Fire protection; Fire safety; Work (physics); Environmental science; Forensic engineering; Nuclear engineering; Computer science; Civil engineering; Computer security; Mechanical engineering; Nuclear physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003585612,0.0001768294,0.0006265007,0.00006401865,0.000425663,0.0001727732,0.0009009528,0.00006543674,0.004274568],"category_scores_gemma":[0.002785547,0.0001145619,0.0003522986,0.0009131604,0.0002107248,0.0002474866,0.0001994259,0.0002121635,0.005267026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006744898,"about_ca_system_score_gemma":0.0001163358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000678041,"about_ca_topic_score_gemma":0.00006716352,"domain_scores_codex":[0.9968407,0.0004211493,0.0007922802,0.0005838368,0.001089269,0.0002727755],"domain_scores_gemma":[0.9974269,0.0002551697,0.0003924807,0.001244522,0.0004971836,0.0001837327],"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":[0.000009638711,0.0000853271,0.0007304609,0.0001576745,0.00005239945,0.000005725271,0.0001676534,0.0002285551,0.00000582789,0.00867136,0.2512766,0.7386088],"study_design_scores_gemma":[0.0001213908,0.00008385423,0.00196533,0.0004877386,0.0002334004,0.000005598535,0.00004402155,0.2307077,4.011963e-7,0.03359102,0.732544,0.0002155826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07693562,0.2192677,0.02700811,0.09082171,0.001869897,0.004774421,0.0003140288,0.0007823341,0.5782262],"genre_scores_gemma":[0.6423311,0.328344,0.01539464,0.006495993,0.0003706045,0.00003604707,0.000009847158,0.00006898333,0.006948896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7383932,"threshold_uncertainty_score":0.9966357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1105913415400744,"score_gpt":0.4242022624313755,"score_spread":0.3136109208913011,"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."}}