{"id":"W2044185868","doi":"10.1097/01.hp.0000142495.49908.25","title":"A NEW PHANTOM FOR USE IN WHOLE BODY COUNTERS: A MONTE CARLO DESIGN PROJECT","year":2004,"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; Calibration; Computer science; Whole body counting; Range (aeronautics); Simulation; Physics; Medical physics; Optics; Nuclear physics; Mathematics; Engineering; Statistics; Aerospace engineering","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":[0.0001641252,0.0001013678,0.0002379524,0.00006446295,0.00005034781,0.00002808029,0.00004054396,0.00002735221,0.000001175607],"category_scores_gemma":[0.0000380499,0.00009612685,0.00004888888,0.0002238997,0.00001077987,0.000274787,0.000006660342,0.0001120179,0.00001153101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002978281,"about_ca_system_score_gemma":0.001572743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003295524,"about_ca_topic_score_gemma":0.0000838482,"domain_scores_codex":[0.9991248,0.00002739452,0.0002190661,0.0001849439,0.0001402643,0.0003035675],"domain_scores_gemma":[0.9995344,0.00005384952,0.000085072,0.0001682124,0.00004076527,0.0001177303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002899259,0.002447333,0.02181318,0.002901839,0.000284376,0.0001178213,0.05871651,0.0121494,0.005791426,0.002616551,0.5394399,0.3508224],"study_design_scores_gemma":[0.1027282,0.009885686,0.04763965,0.007365193,0.0003386884,0.0001445809,0.004356313,0.2902179,0.01932394,0.006961363,0.5089049,0.002133566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2032726,0.001530909,0.7661827,0.02036676,0.0004670544,0.007665921,0.00006813779,0.0002513154,0.0001945026],"genre_scores_gemma":[0.9476123,0.0001448084,0.03678826,0.01333057,0.0009142003,0.0001729521,0.00004128591,0.00006509542,0.0009305372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7443396,"threshold_uncertainty_score":0.4981869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099742488963815,"score_gpt":0.3871095569867672,"score_spread":0.2771353080903857,"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."}}