{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00368998,0.0005589827,0.0005685929,0.0005611642,0.0002894488,0.001106301,0.00134707,0.00105471,0.003196615],"category_scores_gemma":[0.005087793,0.0006671908,0.0006145478,0.0005641725,0.0006427324,0.001110623,0.0007060664,0.0008704579,0.0009281602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008568651,"about_ca_system_score_gemma":0.001436775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004019484,"about_ca_topic_score_gemma":0.0005373306,"domain_scores_codex":[0.9991835,0.0003180022,0.00003237982,0.00007133993,0.0003549478,0.00003987214],"domain_scores_gemma":[0.9978701,0.0008304135,0.0001625974,0.0003931376,0.000612122,0.0001316004],"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":[0.001709069,0.0004981388,0.006075777,0.00122875,0.0001894553,0.000622457,0.0005450177,0.2529677,0.2832352,0.1250889,0.02133266,0.3065069],"study_design_scores_gemma":[0.0003382776,0.001556285,0.004130203,0.0002401499,0.0002520462,0.003291863,0.00007938289,0.5855897,0.1774182,0.01988854,0.2069009,0.0003145275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006555497,0.0002969826,0.9892,0.0002693957,0.0001168029,0.0002118086,0.0001049245,0.001041073,0.002203434],"genre_scores_gemma":[0.06649218,0.0003562348,0.9283554,0.0002596632,0.00004359537,0.0006096939,0.0003322989,0.0004071011,0.003143862],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00368998,"threshold_uncertainty_score":0.01951468,"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."}}