{"id":"W2673071856","doi":"10.1002/mp.12421","title":"Sensitive volume effects on Monte Carlo calculated ion chamber response in magnetic fields","year":2017,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monte Carlo method; Ionization chamber; Computational physics; Magnetic field; Volume (thermodynamics); Physics; Dosimetry; Nuclear medicine; Ion; Nuclear magnetic resonance; Nuclear physics; Materials science; Medicine; Ionization; 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":[0.0009969387,0.0005659644,0.0002837543,0.0004041984,0.0002900942,0.0005334495,0.0006171483,0.0005529344,0.001097056],"category_scores_gemma":[0.005411112,0.0003152538,0.0003793802,0.0004434021,0.000305946,0.0003375746,0.0004181076,0.0003167046,0.0002143559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008477467,"about_ca_system_score_gemma":0.0004955069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003808973,"about_ca_topic_score_gemma":0.001845224,"domain_scores_codex":[0.9993049,0.0002709083,0.00003982502,0.00007424063,0.0002596428,0.00005043784],"domain_scores_gemma":[0.9968517,0.002252762,0.0003017638,0.0001877492,0.0003545563,0.0000514572],"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":[0.0007746033,0.00006482866,0.01189504,0.0002612318,0.0001283868,0.0001796698,0.0002377604,0.9017977,0.07163508,0.001092231,0.000454904,0.01147855],"study_design_scores_gemma":[0.00004058759,0.0003510258,0.01447093,0.00005168055,0.0001253611,0.0003340754,0.00006398089,0.7821868,0.1997027,0.0004878039,0.002118235,0.00006673746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8560948,0.001783403,0.1333518,0.0001990685,0.00007124019,0.0001294366,0.0004994892,0.001585467,0.00628528],"genre_scores_gemma":[0.9884945,0.0001775352,0.0103,0.00007423467,0.000007134766,0.00003387925,0.0002044751,0.0002507952,0.0004574811],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003808973,"threshold_uncertainty_score":0.007573605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009946842538383068,"score_gpt":0.2818472412983736,"score_spread":0.2719003987599905,"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."}}