{"id":"W2087816919","doi":"10.1097/01.hp.0000312369.68301.ef","title":"EFFECT OF MASS, AT A FIXED HEIGHT, ON THE COUNTING EFFICIENCY OF A BOMAB PHANTOM IN THREE TYPES OF WHOLE BODY COUNTER MODELED BY MCNP5","year":2008,"lang":"en","type":"article","venue":"Health Physics","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Imaging phantom; Monte Carlo method; Detector; Physics; Photon; Whole body counting; Exponential function; Calibration; Counting efficiency; Energy (signal processing); Photon counting; Constant (computer programming); Mathematics; Geometry; Computational physics; Nuclear physics; Statistics; Optics; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002908834,0.0008627923,0.000636482,0.0006184508,0.0003739612,0.001025701,0.0006562577,0.0007605723,0.0007533288],"category_scores_gemma":[0.01725673,0.0007768247,0.0006074159,0.000677072,0.0006878164,0.0007832115,0.0007200035,0.0003876065,0.000211208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009962773,"about_ca_system_score_gemma":0.0005575481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002703167,"about_ca_topic_score_gemma":0.002411023,"domain_scores_codex":[0.9986211,0.0006637089,0.00009087518,0.0002180022,0.0003091803,0.00009716041],"domain_scores_gemma":[0.9873191,0.0100684,0.001202932,0.0005769394,0.000683241,0.0001492686],"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":[0.007594598,0.0002376395,0.07782086,0.0005012663,0.0003792355,0.001176725,0.001130113,0.6572796,0.2071781,0.002678025,0.0006674083,0.0433564],"study_design_scores_gemma":[0.0003388412,0.004439952,0.07672425,0.0001672483,0.001160358,0.002695831,0.0004287887,0.5656161,0.3417995,0.001884373,0.004420761,0.000323973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386324,0.001093933,0.05676492,0.0001675565,0.00002572546,0.0001034961,0.0002694637,0.0006344356,0.00230814],"genre_scores_gemma":[0.9725288,0.0003446625,0.02560076,0.000112351,0.000007494659,0.00007503817,0.0002795632,0.0002862826,0.0007650485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002908834,"threshold_uncertainty_score":0.0153836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670803691638534,"score_gpt":0.2959563841588535,"score_spread":0.2792483472424682,"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."}}