{"id":"W4281668104","doi":"10.1002/mp.15786","title":"Fast beta‐emitter Monte Carlo simulations and full patient dose calculations of targeted radionuclide therapy: introducing egs_mird","year":2022,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Carleton University; Lawson Health Research Institute","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Compute Canada; Ontario Innovation Trust","keywords":"Monte Carlo method; Nuclear medicine; Dosimetry; Radionuclide therapy; Medical physics; Computer science; Physics; Medicine; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008409454,0.000617041,0.0005032312,0.0004445335,0.0003872785,0.001348617,0.001607357,0.001002081,0.006698147],"category_scores_gemma":[0.002842122,0.0005530859,0.0007900617,0.0005628075,0.0003659605,0.0006235859,0.001045421,0.001049915,0.001638333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175229,"about_ca_system_score_gemma":0.001042165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006081025,"about_ca_topic_score_gemma":0.004981861,"domain_scores_codex":[0.9996334,0.0001136324,0.00002193847,0.00003337669,0.00016736,0.00003035025],"domain_scores_gemma":[0.99873,0.000700177,0.00007023813,0.0001129042,0.0003200724,0.00006667514],"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":[0.0001516871,0.00005546914,0.00189315,0.0001704961,0.00007048751,0.0001815536,0.0001067751,0.9309005,0.005083159,0.0119771,0.007553403,0.04185618],"study_design_scores_gemma":[0.00002069922,0.00001081093,0.0001701346,0.00001504041,0.000005636897,0.00003084654,0.000005290548,0.9904473,0.002591138,0.001174333,0.005518605,0.00001024603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03951526,0.0006165071,0.9061658,0.0006399004,0.0002590575,0.0001777607,0.001648379,0.01850381,0.03247358],"genre_scores_gemma":[0.3498834,0.0005187393,0.6284561,0.0005956472,0.00008709235,0.000489096,0.001966642,0.006529532,0.01147377],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006698147,"threshold_uncertainty_score":0.02240759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205563797065618,"score_gpt":0.2948413030903757,"score_spread":0.2742849233838139,"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."}}