{"id":"W2484107417","doi":"10.1093/rpd/ncw198","title":"A MONTE CARLO STUDY OF SIMULATED MEASUREMENTS OF RADIONUCLIDES IN BONE","year":2016,"lang":"en","type":"article","venue":"Radiation Protection Dosimetry","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Imaging phantom; Monte Carlo method; Radionuclide; Photon counting; Counting efficiency; Calibration; Voxel; Detector; Range (aeronautics); Photon energy; Photon; Nuclear medicine; Physics; Materials science; Computational physics; Nuclear physics; Optics; Mathematics; Computer science; Statistics; Medicine","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":[0.001683907,0.000473207,0.0006924761,0.0006687469,0.0003565254,0.0007264418,0.001010333,0.001207027,0.001097303],"category_scores_gemma":[0.007607413,0.0005408801,0.0006606725,0.001122913,0.0005995121,0.0004250033,0.0002695318,0.0005549185,0.0001801247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022564,"about_ca_system_score_gemma":0.0006576474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009852541,"about_ca_topic_score_gemma":0.006703533,"domain_scores_codex":[0.9992623,0.0003561927,0.00004471794,0.00009832738,0.0001598349,0.00007861435],"domain_scores_gemma":[0.9896864,0.008721807,0.0004288637,0.0003426524,0.0007041736,0.0001160327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002072602,0.00005364204,0.004753777,0.00005426329,0.00004442072,0.0001170688,0.00004527995,0.9896006,0.001793623,0.0009202655,0.0001157238,0.00229403],"study_design_scores_gemma":[0.00002883278,0.0001411452,0.002385877,0.00001250829,0.00002913031,0.0001289945,0.00003486322,0.9934508,0.002905217,0.0005458817,0.0003189999,0.00001784508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9293886,0.0005402745,0.06372073,0.0001408827,0.00002500723,0.0001137483,0.0005764997,0.0003235058,0.005170685],"genre_scores_gemma":[0.982335,0.0001359899,0.0161807,0.00003781554,0.000005346781,0.00007914606,0.0004486828,0.0000533098,0.0007239368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009852541,"threshold_uncertainty_score":0.01959038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04060933272214863,"score_gpt":0.2954103229316855,"score_spread":0.2548009902095369,"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."}}