{"id":"W2333374998","doi":"10.1097/01.hp.0000363845.08664.01","title":"HML's WHOLE BODY COUNTER: MEASURING HIGHLY RADIOACTIVE PERSONS","year":2009,"lang":"en","type":"article","venue":"Health Physics","topic":"Radioactivity and Radon Measurements","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Nuclide; Whole body counting; Imaging phantom; Monte Carlo method; Detector; Radionuclide; Calibration; Counting efficiency; Radiation; Background radiation; Environmental science; Physics; Nuclear engineering; Nuclear physics; Optics; Statistics; Mathematics","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001144849,0.0003065955,0.0005855017,0.00008205665,0.00212057,0.00002022727,0.000254541,0.0001882792,0.00005099073],"category_scores_gemma":[0.00006677374,0.0002927301,0.0001409139,0.0003502398,0.00006373704,0.0004423106,0.00003322871,0.001319569,0.0005977781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116642,"about_ca_system_score_gemma":0.001083031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004034587,"about_ca_topic_score_gemma":0.00005591364,"domain_scores_codex":[0.9961561,0.0008702759,0.0005652518,0.0004888029,0.0007285406,0.001191026],"domain_scores_gemma":[0.9981416,0.0002091405,0.0004583074,0.0005468258,0.0001838326,0.000460279],"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":[0.001192143,0.004882218,0.03570551,0.002955944,0.0006794978,0.00007758202,0.09611049,0.0004752835,0.02990566,0.02957765,0.6254029,0.1730351],"study_design_scores_gemma":[0.01228806,0.002719231,0.2653171,0.003624232,0.0001988737,0.00002319694,0.01419583,0.003506535,0.002249102,0.008050579,0.6853082,0.002519038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6397752,0.004923527,0.04946889,0.1197359,0.01298743,0.01178889,0.0007595178,0.002944215,0.1576165],"genre_scores_gemma":[0.9829119,0.0001709127,0.0006695066,0.01256925,0.001713461,0.00007014681,0.00003564795,0.00004935118,0.001809855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3431367,"threshold_uncertainty_score":0.9999525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1186700014395403,"score_gpt":0.4123677109749914,"score_spread":0.2936977095354511,"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."}}