{"id":"W2145785997","doi":"10.1016/s0958-3947(02)00141-3","title":"A comparison of methods to calculate biological effectiveness (RBE) from Monte Carlo simulations","year":2003,"lang":"en","type":"article","venue":"Medical dosimetry","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"","keywords":"Monte Carlo method; Relative biological effectiveness; Physics; Energy spectrum; Spectrum (functional analysis); Computational physics; Radiation; Statistical physics; Nuclear physics; Nuclear medicine; Mathematics; Statistics; Medicine; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00119988,0.0002069236,0.0008280782,0.0002163914,0.00007725103,0.000009461132,0.0001519947,0.000395463,0.001930559],"category_scores_gemma":[0.004801622,0.000157102,0.0001976554,0.0008423519,0.0001428768,0.0000405935,0.00003876138,0.0004043209,0.00004600024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007655574,"about_ca_system_score_gemma":0.0001295364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001448625,"about_ca_topic_score_gemma":0.000003457676,"domain_scores_codex":[0.9972268,0.001032006,0.0006011883,0.0003938799,0.0004555122,0.0002905654],"domain_scores_gemma":[0.996384,0.002406385,0.000113613,0.0003963758,0.00009262139,0.0006069778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006536215,0.001250516,0.8810858,0.00008133074,0.0004757622,0.00002092102,0.0004905466,0.00135678,0.06194159,0.0008441495,0.0006291295,0.05116986],"study_design_scores_gemma":[0.004582047,0.00100656,0.6729575,0.0002925415,0.0002322617,0.00001374299,0.0001534756,0.01959985,0.2857499,0.0004528121,0.01455084,0.0004084182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9166185,0.001740769,0.08003946,0.0002162194,0.0003559896,0.0004404678,0.00002833978,0.00007346748,0.0004867421],"genre_scores_gemma":[0.9849185,0.00001643127,0.01385602,0.0009954408,0.0001093884,0.00001636003,0.00002290213,0.00002166544,0.0000432704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2238083,"threshold_uncertainty_score":0.9989818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06553111508338057,"score_gpt":0.460732207653148,"score_spread":0.3952010925697674,"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."}}