{"id":"W2027923939","doi":"10.1177/1094342006064571","title":"Scalability Modeling For Deterministic Particle Transport Solvers","year":2006,"lang":"en","type":"article","venue":"The International Journal of High Performance Computing Applications","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Solver; Neutron transport; Scalability; Parallel computing; Computation; Computational science; Code (set theory); Algorithm; Neutron; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001675891,0.00006808571,0.00008731261,0.00002843938,0.00007507361,0.00002716789,0.0003075665,0.00001666879,0.000002348554],"category_scores_gemma":[0.000002835644,0.0000556476,0.00005514488,0.00006278841,0.00001917808,0.00008990237,0.00001158232,0.0001035517,0.000002912944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006183131,"about_ca_system_score_gemma":0.00001443394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001151323,"about_ca_topic_score_gemma":0.000001561184,"domain_scores_codex":[0.9993938,0.000002185089,0.000289509,0.00005311371,0.0001525198,0.0001089149],"domain_scores_gemma":[0.9996149,0.00005420561,0.00005810889,0.00009320665,0.000156803,0.00002276693],"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":[0.0000069329,0.00002002309,0.0002733054,0.00001434329,0.00002739165,3.058205e-7,0.00004041881,0.9862421,0.002618349,0.00243317,0.00004825815,0.008275413],"study_design_scores_gemma":[0.0001902808,0.00001259896,0.002186472,0.00002116168,0.0000166654,0.00001931867,0.00001295034,0.9929426,0.001438241,0.001021747,0.002073824,0.00006419093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6799088,0.00002617603,0.3196265,0.00006452633,0.0001534135,0.00006480813,0.00000370743,0.00003397228,0.0001180999],"genre_scores_gemma":[0.9972241,0.00001302471,0.002176612,0.00001212238,0.0005397829,0.000008144313,0.000005329599,0.00001639748,0.00000446715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3174499,"threshold_uncertainty_score":0.2269243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008819408599540089,"score_gpt":0.2145998579679493,"score_spread":0.2057804493684093,"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."}}