{"id":"W1975783876","doi":"10.1088/0031-9155/49/10/009","title":"Monte Carlo investigation of single cell beta dosimetry for intraperitoneal radionuclide therapy","year":2004,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Radionuclide; Radionuclide therapy; Stopping power; Monte Carlo method; Spectral line; Physics; Range (aeronautics); Nuclear physics; Dosimetry; Beta particle; Mean free path; Energy (signal processing); Computational physics; Nuclear medicine; Atomic physics; Electron; Materials science; Optics; Statistics; Mathematics; Detector; 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":[0.0007928613,0.0002758398,0.0004204243,0.0003719158,0.0002103292,0.0006470325,0.0004264763,0.000458595,0.0009910529],"category_scores_gemma":[0.002589485,0.0003356148,0.0003798829,0.0006625777,0.0002689694,0.0002448175,0.0002272335,0.0003650549,0.0002461019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008971512,"about_ca_system_score_gemma":0.0006267088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00213617,"about_ca_topic_score_gemma":0.001735337,"domain_scores_codex":[0.9997091,0.00009738777,0.000009839625,0.00002567396,0.0001365378,0.00002135127],"domain_scores_gemma":[0.998612,0.0009960956,0.0001031298,0.00007597958,0.0001749234,0.0000378412],"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":[0.0001911682,0.00002873997,0.003604047,0.0001051219,0.00004311509,0.0001361099,0.00009162279,0.9513718,0.02202464,0.00444476,0.0002767495,0.01768199],"study_design_scores_gemma":[0.000008919249,0.00004620135,0.001120392,0.00001395528,0.00001559454,0.0001164202,0.000010095,0.9870249,0.01028507,0.0006116591,0.0007334829,0.00001322135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2459851,0.001439804,0.7425413,0.000183151,0.00003906847,0.0001061734,0.0001686282,0.0009269668,0.008609871],"genre_scores_gemma":[0.9192445,0.0006400186,0.07733141,0.00004762682,0.000009121546,0.00009664516,0.0001447474,0.0002548787,0.002231094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00213617,"threshold_uncertainty_score":0.006509364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09714542801206642,"score_gpt":0.3580745543114756,"score_spread":0.2609291262994091,"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."}}