{"id":"W2013645973","doi":"10.1088/0031-9155/58/10/3075","title":"A Monte Carlo-based model of gold nanoparticle radiosensitization accounting for increased radiobiological effectiveness","year":2013,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Monte Carlo method; Colloidal gold; Materials science; Irradiation; Nanoparticle; Radiochemistry; Nuclear medicine; Nanotechnology; Physics; Chemistry; Nuclear physics; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003690193,0.00009563542,0.0003837322,0.00006812936,0.00002391554,0.000002070004,0.00003230911,0.00009175019,0.000005536436],"category_scores_gemma":[0.000246141,0.00006538004,0.0000365928,0.0001584058,0.000179512,0.00004315376,0.000007600683,0.00007521707,5.470511e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002138409,"about_ca_system_score_gemma":0.00003356779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001624163,"about_ca_topic_score_gemma":0.000002233884,"domain_scores_codex":[0.999325,0.00008992892,0.0002213649,0.0001747948,0.00004216641,0.000146728],"domain_scores_gemma":[0.9991302,0.0005305128,0.00008450235,0.0001004814,0.0001069905,0.00004732433],"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":[0.0004790807,0.0001362121,0.1050682,0.0001662828,0.000036285,5.236018e-7,0.0001384179,0.002607906,0.8787319,0.001668375,0.00009796938,0.01086886],"study_design_scores_gemma":[0.008445133,0.001308824,0.04941862,0.0001801788,0.00007986517,0.000004201459,0.00009005656,0.8706917,0.06236364,0.007239531,0.0000373306,0.0001408975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906598,0.0003483461,0.007851917,0.0004817026,0.00004068525,0.0005479455,0.000005957878,0.00001631509,0.00004728805],"genre_scores_gemma":[0.9981315,0.00003229732,0.0006817987,0.0009174474,0.000137162,0.0000619554,0.00002656077,0.000007410639,0.000003942912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8680838,"threshold_uncertainty_score":0.2666121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1220734689459847,"score_gpt":0.3591254126256399,"score_spread":0.2370519436796551,"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."}}