{"id":"W1964009710","doi":"10.1097/01.hp.0000242152.26766.5c","title":"THE STANDFAST WHOLE BODY COUNTER AND THE SLICED BOMAB PHANTOM: EFFICIENCY AS A FUNCTION OF NUMBER OF SOURCES AND ENERGY MODELED BY MCNP5","year":2007,"lang":"en","type":"article","venue":"Health Physics","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Imaging phantom; Calibration; Monte Carlo method; Whole body counting; Energy (signal processing); Physics; Computer science; Optics; Mathematics; Nuclear physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001925391,0.0005228262,0.0006843386,0.0006915152,0.000282806,0.001215377,0.001192437,0.0008108937,0.002462906],"category_scores_gemma":[0.005571684,0.000667131,0.000400562,0.001343576,0.0005077503,0.001026195,0.0004196683,0.0004278808,0.0009351983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009825414,"about_ca_system_score_gemma":0.0009001511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004034685,"about_ca_topic_score_gemma":0.00326909,"domain_scores_codex":[0.9993655,0.0001944437,0.00002523295,0.0001110587,0.0002470595,0.00005661868],"domain_scores_gemma":[0.9977747,0.00134137,0.0002947645,0.0002036788,0.0003346245,0.00005099259],"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":[0.003155603,0.0002288937,0.02370342,0.000801341,0.0001979578,0.0007823312,0.001023081,0.6410371,0.2250956,0.01995991,0.004305623,0.07970914],"study_design_scores_gemma":[0.00009603932,0.0007720498,0.01787271,0.0001155638,0.0001597726,0.001976018,0.0002053404,0.7898888,0.1709754,0.004006014,0.01375022,0.0001820578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4092146,0.002744315,0.564319,0.0003924762,0.00005505115,0.0002869745,0.0009849041,0.002698775,0.01930374],"genre_scores_gemma":[0.8579655,0.0009680052,0.1316338,0.0001902811,0.000008606668,0.0002291891,0.001006908,0.0007251469,0.007272529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004034685,"threshold_uncertainty_score":0.01018256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006785330385384937,"score_gpt":0.2934696463281304,"score_spread":0.2866843159427455,"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."}}