{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004720851,0.00007241816,0.0001926706,0.00001392887,0.0001572963,0.00001142542,0.00003208923,0.00002134067,0.000003881246],"category_scores_gemma":[0.00001654039,0.00004140586,0.00002631643,0.0001149274,0.0001632306,0.00006436184,0.00001286724,0.00007290373,9.1994e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001955447,"about_ca_system_score_gemma":0.00007972017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000331261,"about_ca_topic_score_gemma":0.00001017182,"domain_scores_codex":[0.9992298,0.0000464833,0.0002463319,0.0001030177,0.0002118142,0.0001625549],"domain_scores_gemma":[0.9993807,0.0001656226,0.000190137,0.0001329004,0.00007127557,0.00005935836],"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":[0.01135881,0.001689425,0.03503832,0.001794073,0.0006987659,0.00000380367,0.04067566,0.0002360601,0.04767482,0.09006596,0.0309041,0.7398602],"study_design_scores_gemma":[0.07398269,0.004651968,0.07290161,0.001475594,0.0009788045,0.0001460931,0.02429114,0.4136072,0.06937835,0.0166625,0.3207131,0.001210939],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791564,0.002352203,0.01407334,0.002111998,0.00005186964,0.0001720752,0.000008296855,0.00001193263,0.002061828],"genre_scores_gemma":[0.9972519,0.0005825595,0.00001267792,0.00165596,0.00008548472,0.000004435934,0.000007125386,0.000009039869,0.0003908764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7386492,"threshold_uncertainty_score":0.1688482,"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."}}