{"id":"W1973687775","doi":"10.5539/emr.v3n2p47","title":"Post Accident Monitoring in PFBR—Safety in Nuclear Power Plant","year":2014,"lang":"en","type":"article","venue":"Engineering Management Research","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Instrumentation (computer programming); Containment (computer programming); Nuclear engineering; Core (optical fiber); Nuclear power plant; Engineering; Nuclear power; Reliability engineering; Computer science; Environmental science; Nuclear physics; Operating system; Physics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001669164,0.0002997289,0.0002936089,0.001394347,0.00004749851,0.0001177338,0.0006534333,0.0001304594,0.00007767255],"category_scores_gemma":[0.00009237928,0.0003565883,0.00005780556,0.0009417426,0.00002208166,0.0002401612,0.0003395037,0.001014275,0.0003370438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000635691,"about_ca_system_score_gemma":0.000005725982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004727036,"about_ca_topic_score_gemma":0.00002198488,"domain_scores_codex":[0.9973949,0.0000641089,0.0004302424,0.0003835868,0.0006361784,0.001090947],"domain_scores_gemma":[0.9990387,0.0001505326,0.00001393493,0.0006070615,0.00003280836,0.0001569961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003346247,0.00006495341,0.002077579,0.000369014,0.00005675446,0.0002246121,0.0006335717,0.9751564,0.005067707,0.01159006,0.0003519975,0.004373878],"study_design_scores_gemma":[0.001412991,0.0001070901,0.3198817,0.0007433416,0.000007246169,0.00001227426,0.0003707236,0.5429092,0.0007591694,0.00008032326,0.1328279,0.0008880296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951398,0.0002566132,0.001938558,0.0002255878,0.001180293,0.0008171929,0.000004958434,0.00127824,0.04290055],"genre_scores_gemma":[0.9973899,0.0002143887,0.001857984,0.000009279935,0.0001244032,0.00004834399,0.000006007868,0.0001877383,0.0001619307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4322472,"threshold_uncertainty_score":0.9998886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171653322443925,"score_gpt":0.2442054314677322,"score_spread":0.2324888982432929,"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."}}