{"id":"W2767131843","doi":"10.1115/1.4038274","title":"Professor Pavel Leonidovich Kirillov on His 90th Birthday","year":2017,"lang":"en","type":"article","venue":"Journal of Nuclear Engineering and Radiation Science","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories; Ontario Tech University","funders":"National Research Nuclear University MEPhI","keywords":"Engineering physics; Power (physics); Nuclear power; Engineering; Library science; Physics; Nuclear physics; Computer science; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006234711,0.0001646269,0.0002120232,0.0003481656,0.0002679713,0.0002967813,0.0005391643,0.00007046511,0.0000134966],"category_scores_gemma":[0.0002992958,0.0001499303,0.00005699235,0.0001605399,0.0001058451,0.0007364125,0.00005042413,0.0003357831,0.00002586439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001352868,"about_ca_system_score_gemma":0.00003130366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001419746,"about_ca_topic_score_gemma":2.461083e-7,"domain_scores_codex":[0.9988695,0.000006944451,0.0002884034,0.0001414472,0.0004026459,0.0002910165],"domain_scores_gemma":[0.9991531,0.00004091923,0.0001529215,0.000348687,0.00008957063,0.0002147581],"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":[0.00002830882,0.00005125592,0.0004254625,0.0001440934,0.00008163545,0.00004983236,0.001490256,0.8133971,0.1330901,0.004255915,0.002507054,0.044479],"study_design_scores_gemma":[0.0008523212,0.0002354928,0.1116323,0.0002202824,0.00002668634,0.0002132407,0.00006843908,0.7820625,0.00285231,0.00004960298,0.1013044,0.0004823817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940093,0.0001941146,0.0009490403,0.0006044807,0.002303163,0.00008433074,0.00000316766,0.0001779987,0.001674385],"genre_scores_gemma":[0.9972201,0.0002497855,0.002093031,0.00004527226,0.0002906178,6.684657e-7,1.367893e-7,0.00005319084,0.00004717898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1302378,"threshold_uncertainty_score":0.611398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00881726327977764,"score_gpt":0.2303996360181919,"score_spread":0.2215823727384142,"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."}}