{"id":"W2517770111","doi":"10.13182/nse07-a2643","title":"Multigroup Adjoint Transport Solution Using the Method of Cyclic Characteristics","year":2007,"lang":"en","type":"article","venue":"Nuclear Science and Engineering","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adjoint equation; Neutron transport; Isotropy; Mathematics; Boundary value problem; Mathematical analysis; Applied mathematics; Physics; Differential equation; Neutron; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005080926,0.0004809884,0.0004376996,0.0005849196,0.0006160306,0.0006119428,0.0008035899,0.001067008,0.002781481],"category_scores_gemma":[0.001146991,0.0002591012,0.0005627901,0.0004742662,0.000671939,0.000774916,0.0009043657,0.0008837828,0.0004783155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006116127,"about_ca_system_score_gemma":0.001846976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002615874,"about_ca_topic_score_gemma":0.002281222,"domain_scores_codex":[0.9998425,0.00004522676,0.00000492713,0.0000151152,0.0000718794,0.00002030149],"domain_scores_gemma":[0.9995777,0.0001849238,0.00003970092,0.00005189594,0.0001188812,0.00002692005],"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":[0.00007279126,0.0000801642,0.0007450675,0.0001503721,0.00002766739,0.0002095517,0.0002126719,0.6622034,0.01336927,0.2520658,0.002770382,0.06809274],"study_design_scores_gemma":[0.00001137573,0.00001746496,0.00004871497,0.000004949338,0.000001949415,0.00002302245,0.00001439733,0.9817498,0.001583775,0.01391531,0.002621839,0.000007437578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01525982,0.00006230637,0.9782475,0.000139182,0.00005782628,0.00005119906,0.00002885319,0.0001859442,0.005967433],"genre_scores_gemma":[0.3125194,0.000163298,0.6781045,0.0001319047,0.00006257562,0.0004108422,0.0001377954,0.0004100408,0.008059604],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002781481,"threshold_uncertainty_score":0.009305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302284173383551,"score_gpt":0.2250738252352991,"score_spread":0.2120509835014636,"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."}}