{"id":"W2257902201","doi":"10.13182/nse162-56","title":"Development of the Subgroup Projection Method for Resonance Self-Shielding Calculations","year":2009,"lang":"en","type":"article","venue":"Nuclear Science and Engineering","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Electromagnetic shielding; Monte Carlo method; Projection (relational algebra); Resonance (particle physics); Physics; Shielding effect; Representation (politics); Energy (signal processing); Statistical physics; Computational physics; Materials science; Mathematics; Atomic physics; Algorithm; Quantum mechanics; Statistics","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":[0.0005864991,0.00003968961,0.00005221873,0.00004144859,0.0001531906,0.00001773297,0.00009308436,0.00001760372,6.470134e-7],"category_scores_gemma":[0.0001488087,0.00002943393,0.000014492,0.0002062165,0.00001548769,0.00005662499,0.00002134427,0.00003585078,9.228606e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000282165,"about_ca_system_score_gemma":0.00002604841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.421221e-7,"about_ca_topic_score_gemma":9.116054e-7,"domain_scores_codex":[0.9996039,0.000002932938,0.00009370048,0.00008605605,0.0001126802,0.0001006877],"domain_scores_gemma":[0.9997944,0.00003624441,0.00002641231,0.00008262702,0.00004209016,0.00001826252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003465602,0.00002949359,0.00002183157,0.00005827119,0.00000416898,7.767046e-8,0.005552073,0.0007021297,0.1522127,0.8080261,0.00001494735,0.0333748],"study_design_scores_gemma":[0.0001434193,0.0000272612,0.01546878,0.00007032685,0.00001078595,0.000006032697,0.0002365198,0.9688285,0.002990134,0.007670011,0.004442665,0.0001055737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372123,0.00001484619,0.06214013,0.0001148414,0.00007905575,0.0001638933,4.036475e-7,0.00004266836,0.0002318707],"genre_scores_gemma":[0.5270886,0.000001209729,0.4728793,0.00001044808,0.000007302624,0.000001644571,1.951084e-8,0.000002989911,0.00000849587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9681264,"threshold_uncertainty_score":0.1200281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916522315020494,"score_gpt":0.2799277071808445,"score_spread":0.2607624840306395,"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."}}