{"id":"W1981669633","doi":"10.1016/j.apradiso.2009.07.005","title":"Monte Carlo simulation of a PhosWatch detector using Geant4 for xenon isotope beta–gamma coincidence spectrum profile and detection efficiency calculations","year":2009,"lang":"en","type":"article","venue":"Applied Radiation and Isotopes","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"","keywords":"Detector; Coincidence; Xenon; Physics; Monte Carlo method; Deconvolution; Calibration; Spectral line; Computational physics; Optics; Nuclear physics; Mathematics; 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":[0.0001396222,0.0001639258,0.0002262097,0.0001901028,0.0002996534,0.00006429754,0.00006328093,0.00008554154,0.00002693704],"category_scores_gemma":[0.00001998115,0.0001602414,0.00005796555,0.0002841718,0.00006300784,0.0001912987,0.00001488903,0.0000910335,0.000001614315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003518291,"about_ca_system_score_gemma":0.00002711845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009323491,"about_ca_topic_score_gemma":0.00001263792,"domain_scores_codex":[0.9990204,0.00001952871,0.0003393091,0.000299159,0.0001333405,0.0001882454],"domain_scores_gemma":[0.999381,0.00009051213,0.000251097,0.0001533052,0.00006620611,0.00005789764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002079781,0.0001689454,0.01185603,0.00006695973,0.00009654107,3.841046e-7,0.001621854,0.3438201,0.08629216,0.008719305,0.00004369263,0.5471061],"study_design_scores_gemma":[0.00100003,0.0001749128,0.03152273,0.00001317588,0.00005086368,0.000001848278,0.0004044631,0.8796538,0.08494242,0.000955937,0.001019333,0.0002605428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435897,0.0001292152,0.05487246,0.0001265981,0.00006952065,0.0009199656,0.0000261939,0.00008628683,0.000180052],"genre_scores_gemma":[0.9987648,0.00001596079,0.0009832454,0.00003225901,0.00009384891,0.00004737749,0.000003141224,0.00001200996,0.00004739397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5468456,"threshold_uncertainty_score":0.6534454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201494773283609,"score_gpt":0.2557715731526516,"score_spread":0.2437566254198155,"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."}}