{"id":"W3036192563","doi":"10.12943/cnr.2019.00011","title":"OSCAR-4 CODE SYSTEM COMPARISON AND ANALYSIS WITH A FIRST-ORDER SEMI-EMPIRICAL METHOD FOR CORE-FOLLOW DEPLETION CALCULATION IN MNR","year":2020,"lang":"en","type":"article","venue":"CNL Nuclear Review","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Core (optical fiber); Code (set theory); Multiplication (music); Nuclear engineering; Nuclear reactor core; Order (exchange); Environmental science; Computer science; Mathematics; Reliability engineering; Statistics; Engineering; Combinatorics; Telecommunications; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001648576,0.0007363742,0.0006072161,0.0009184425,0.0005353308,0.0008125288,0.002145412,0.0005006748,0.009750716],"category_scores_gemma":[0.003478733,0.0003731276,0.0006567411,0.001024936,0.0002215613,0.0007104499,0.0005573778,0.0008164175,0.003093214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047686,"about_ca_system_score_gemma":0.001802944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01584702,"about_ca_topic_score_gemma":0.01190443,"domain_scores_codex":[0.9994026,0.00015284,0.0000621984,0.00007316221,0.0002607456,0.00004842044],"domain_scores_gemma":[0.9972178,0.0008217306,0.0001785002,0.0003460323,0.001390862,0.00004503513],"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":[0.0007785936,0.0004399209,0.01456373,0.0009576253,0.0003721642,0.0003308824,0.0004173153,0.7005927,0.02547548,0.02355255,0.05634291,0.1761762],"study_design_scores_gemma":[0.00006301091,0.00008759102,0.003272963,0.00003063421,0.00002750927,0.00006759878,0.00006157323,0.9592308,0.01425032,0.001060682,0.02180672,0.00004062421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2568112,0.0006925439,0.5915511,0.000394149,0.0003270478,0.0005930554,0.01641334,0.08673502,0.04648256],"genre_scores_gemma":[0.43874,0.0004539935,0.5101154,0.0002211981,0.00007382263,0.0010927,0.01579641,0.0168033,0.01670327],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01584702,"threshold_uncertainty_score":0.03261942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04336263424962289,"score_gpt":0.2922819630150493,"score_spread":0.2489193287654264,"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."}}