{"id":"W2473356672","doi":"10.1093/rpd/ncv402","title":"NEUTRON GENERATOR FACILITY AT SFU: GEANT4 DOSE RATE PREDICTION AND VERIFICATION","year":2015,"lang":"en","type":"article","venue":"Radiation Protection Dosimetry","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Canadian Nuclear Safety Commission; CERN","keywords":"Neutron generator; Nuclear engineering; Neutron; Monte Carlo method; Nuclear physics; Physics; Generator (circuit theory); Radiation; Neutron temperature; Environmental science; Equivalent dose; Mathematics; Engineering; Statistics; Power (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002937713,0.0009774836,0.0008547034,0.0009350989,0.001015158,0.0007132255,0.001342931,0.001044714,0.007944215],"category_scores_gemma":[0.002839755,0.0005491093,0.0007335407,0.001077688,0.0004112308,0.0008494189,0.0006149474,0.0007628753,0.002703297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002039204,"about_ca_system_score_gemma":0.002099549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01369749,"about_ca_topic_score_gemma":0.01054064,"domain_scores_codex":[0.9987865,0.000294333,0.00003812585,0.0001340034,0.0006545311,0.00009251598],"domain_scores_gemma":[0.9987129,0.0002882247,0.000122594,0.0002647056,0.0005718685,0.00003973874],"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":[0.001749065,0.0002615509,0.01969171,0.0004061331,0.0001314594,0.0007019409,0.0002985994,0.8073261,0.08154748,0.008422649,0.02008602,0.05937719],"study_design_scores_gemma":[0.0003454984,0.001107131,0.01848886,0.00006210706,0.00007745111,0.0006264754,0.00008077238,0.6713859,0.2756752,0.002246946,0.02971198,0.0001917784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.507112,0.0004882275,0.4005768,0.0005568175,0.0001730182,0.0008571256,0.01971036,0.01955117,0.05097453],"genre_scores_gemma":[0.8739163,0.0001666629,0.1095761,0.0000665959,0.00001497931,0.0003591038,0.007078674,0.001411565,0.007410036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01369749,"threshold_uncertainty_score":0.02723551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096827219630772,"score_gpt":0.2342823290218715,"score_spread":0.2133140568255637,"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."}}