{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002195471,0.0005114122,0.00076116,0.0007801656,0.0003084939,0.001050812,0.001028934,0.001017748,0.002087496],"category_scores_gemma":[0.006592601,0.0005282419,0.0003466244,0.001118474,0.0004585963,0.0007049929,0.0003782149,0.0002983302,0.0006027274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000902215,"about_ca_system_score_gemma":0.0007838865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001444239,"about_ca_topic_score_gemma":0.001321222,"domain_scores_codex":[0.9990275,0.0002694985,0.00006865965,0.0001817638,0.0003804023,0.00007211607],"domain_scores_gemma":[0.9939056,0.004296213,0.0004453562,0.0004309163,0.0008047168,0.0001171592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006083403,0.000312533,0.01333835,0.001130255,0.0002987545,0.0006832582,0.0005152022,0.1915748,0.7223583,0.00388779,0.001710009,0.05810736],"study_design_scores_gemma":[0.0002020789,0.002362052,0.01875383,0.0001892636,0.0004232042,0.002275238,0.0001427021,0.331387,0.6353881,0.0008579048,0.007737429,0.0002811764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6618807,0.003604583,0.319527,0.0004905267,0.0001042958,0.0002763868,0.00118772,0.003359149,0.009569671],"genre_scores_gemma":[0.9323989,0.0009606224,0.0612944,0.0001414284,0.00001725551,0.0001778161,0.001016424,0.0004348936,0.003558419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002195471,"threshold_uncertainty_score":0.01161093,"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."}}