{"id":"W2284373847","doi":"","title":"가압경수로 2상유동 해석 코드 CUPID 병렬화 및 병렬 특성 평가","year":2014,"lang":"ko","type":"article","venue":"한국전산유체공학회 학술대회논문집","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Solver; Parallel computing; Message Passing Interface; Polygon mesh; Domain decomposition methods; Computer science; Scalability; Computational science; Sparse matrix; Diagonal; Code (set theory); Transient (computer programming); Fortran; Interface (matter); Matrix (chemical analysis); Domain (mathematical analysis); Set (abstract data type); Message passing; Computer graphics (images); Finite element method; Engineering; Mathematics; Operating system; Programming language; Geometry; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001316403,0.001017612,0.0009898543,0.0005716859,0.0002956284,0.0003659447,0.001342305,0.0007699868,0.00176433],"category_scores_gemma":[0.0004410417,0.001118256,0.0003853606,0.001022317,0.0002193594,0.0002868692,0.0004668344,0.001636107,0.01100542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004970417,"about_ca_system_score_gemma":0.0001232142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002360005,"about_ca_topic_score_gemma":0.00004472793,"domain_scores_codex":[0.9943115,0.0001663454,0.0009239302,0.001084892,0.001229481,0.002283827],"domain_scores_gemma":[0.9962851,0.0005693824,0.0001122289,0.001980568,0.0001790661,0.0008735954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001994463,0.0007975657,0.006868978,0.006283447,0.001632321,0.0003829751,0.003518109,0.5143568,0.117272,0.0638854,0.1543273,0.1304756],"study_design_scores_gemma":[0.002715194,0.0004061369,0.01223688,0.0006877173,0.0001974694,0.00006201,0.0001872506,0.3726716,0.02227413,0.001206346,0.5845192,0.002836104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4866556,0.008266739,0.1224698,0.00386846,0.01143634,0.003021339,0.0002051428,0.006550314,0.3575263],"genre_scores_gemma":[0.9842077,0.0006219925,0.003378196,0.0002187374,0.002543814,0.000138754,0.00005254233,0.0005120856,0.008326165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4975522,"threshold_uncertainty_score":0.9991482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007452744376664257,"score_gpt":0.2251339622130835,"score_spread":0.2176812178364192,"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."}}