{"id":"W2019179466","doi":"10.1097/01.hp.0000152106.93202.05","title":"Performance characteristics of a commercially available whole body counting phantom measured experimentally and using Monte Carlo simulations","year":2005,"lang":"en","type":"article","venue":"Health Physics","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Imaging phantom; Monte Carlo method; Whole body counting; Detector; Photon counting; Counting efficiency; Physics; Photon; Computer science; 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":[0.0001570369,0.0001007795,0.0002841423,0.00004016548,0.000191793,0.00001764385,0.0000335111,0.00002589411,0.00001672481],"category_scores_gemma":[0.0000175806,0.0001069941,0.00002676078,0.000123297,0.00003990491,0.0002715514,0.00001861226,0.0001059361,0.000008315134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001216256,"about_ca_system_score_gemma":0.0002861424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001454188,"about_ca_topic_score_gemma":0.000005514918,"domain_scores_codex":[0.9990773,0.00002572824,0.0003421592,0.0001346127,0.0002093569,0.0002108127],"domain_scores_gemma":[0.9993776,0.00002603662,0.0002308788,0.0001528118,0.0001138499,0.00009882772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002642662,0.001065109,0.5489205,0.001690123,0.000185387,0.000003587137,0.01576608,0.005200283,0.2661937,0.0001082017,0.002508732,0.158094],"study_design_scores_gemma":[0.001490397,0.0001454728,0.06386024,0.0003940785,0.00005213208,0.000008841568,0.0001756621,0.9170084,0.009782713,0.000002257604,0.006923344,0.0001564938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980018,0.0004612541,0.0003326679,0.0005102254,0.00005728694,0.0002628699,0.00002512904,0.00002567685,0.0003230924],"genre_scores_gemma":[0.9964843,0.0001093056,0.00161149,0.001304143,0.0003395986,0.000002917998,0.00002285159,0.00002031294,0.0001050796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9118081,"threshold_uncertainty_score":0.4363092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05542453776310066,"score_gpt":0.338885360325781,"score_spread":0.2834608225626803,"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."}}