{"id":"W3174520161","doi":"10.1016/j.net.2021.06.019","title":"Multilevel modeling of diametral creep in pressure tubes of Korean CANDU units","year":2021,"lang":"en","type":"article","venue":"Nuclear Engineering and Technology","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning","keywords":"Multilevel model; Creep; Pooling; Experimental data; Nuclear engineering; Engineering; Computer science; Materials science; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000981566,0.0006057973,0.0008399628,0.0009280346,0.0004338876,0.0008125241,0.001264799,0.0007468908,0.001132071],"category_scores_gemma":[0.002468353,0.0004252381,0.001649845,0.001016514,0.0003786159,0.0007894765,0.0007646577,0.0009287582,0.0001925946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007920423,"about_ca_system_score_gemma":0.0008876244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03410186,"about_ca_topic_score_gemma":0.02816515,"domain_scores_codex":[0.9995158,0.0001104684,0.00002695882,0.0001643688,0.00009490228,0.00008765383],"domain_scores_gemma":[0.9988604,0.0004969614,0.0002223948,0.0001052396,0.0002654706,0.00004956359],"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":[0.0001039127,0.00007288627,0.0550416,0.00004983132,0.0001384796,0.0001306913,0.0001124842,0.9230471,0.003002556,0.001054215,0.0002720832,0.01697417],"study_design_scores_gemma":[0.000001885091,0.00002028627,0.006581998,0.000002902845,0.00001345761,0.000007336249,0.00002009965,0.992689,0.0003715624,0.000209053,0.00007381948,0.000008562307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8430297,0.000169449,0.1550966,0.0001163179,0.00002086354,0.00003901854,0.0004494764,0.0002244304,0.0008540711],"genre_scores_gemma":[0.9903483,0.00004383626,0.008748335,0.000009888113,0.000004697549,0.00003010321,0.0002106062,0.00002033283,0.0005839617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03410186,"threshold_uncertainty_score":0.06780672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00724422721519852,"score_gpt":0.1659345485700197,"score_spread":0.1586903213548212,"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."}}