{"id":"W4389223565","doi":"10.1088/1742-6596/2616/1/012059","title":"Multivariate Image Analysis for Core Monitoring in PWRs","year":2023,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Control rod; Pressurized water reactor; Principal component analysis; Research reactor; Computer science; Nuclear engineering; Benchmark (surveying); Software; Coolant; Multivariate statistics; Neutron flux; Neutron; Data mining; Artificial intelligence; Engineering; Mechanical engineering; Machine learning; Physics; Nuclear 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006074567,0.00054082,0.0003744258,0.001205222,0.0002316679,0.0004940317,0.0003594574,0.0003070353,0.002157087],"category_scores_gemma":[0.001272905,0.0001803247,0.0005361752,0.0008443306,0.0002498699,0.000393016,0.0002889845,0.0004165556,0.0003085319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004021987,"about_ca_system_score_gemma":0.000449057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00463753,"about_ca_topic_score_gemma":0.002843496,"domain_scores_codex":[0.9997823,0.00006282551,0.000007628595,0.00003829606,0.00008599112,0.00002299939],"domain_scores_gemma":[0.9995534,0.0001734044,0.00006545248,0.0000440877,0.0001465544,0.00001714662],"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":[0.000688944,0.0002331486,0.006755016,0.0003045845,0.00007953019,0.0001856752,0.0002056828,0.5357778,0.1624198,0.004090811,0.001727445,0.2875316],"study_design_scores_gemma":[0.000006602488,0.00006729068,0.008112144,0.000006034564,0.00001170015,0.00003917559,0.00004020371,0.9635638,0.02693648,0.0004865042,0.0007108512,0.00001920269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.326818,0.0002198805,0.6666845,0.0001576782,0.00004852328,0.0001200759,0.0005263634,0.003051909,0.002373047],"genre_scores_gemma":[0.7787954,0.0001425566,0.2195664,0.00001173334,0.00001369889,0.00005524044,0.0003017382,0.0001875527,0.0009257136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00463753,"threshold_uncertainty_score":0.009221077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05498528085666299,"score_gpt":0.3265284710560316,"score_spread":0.2715431901993686,"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."}}