{"id":"W1995068366","doi":"10.1016/j.cmpb.2012.03.010","title":"BioDoser: Improved dose-estimation software for biological radiation dosimetry","year":2012,"lang":"en","type":"article","venue":"Computer Methods and Programs in Biomedicine","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Science Foundation of Tianjin City; National Natural Science Foundation of China","keywords":"Dosimetry; Software; Computer science; Chromosome aberration; Algorithm; Nuclear medicine; Chromosome; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02474279,0.0001560854,0.0003263516,0.000452052,0.0001333484,0.0001712653,0.0002640141,0.0001376613,0.00004448295],"category_scores_gemma":[0.003181656,0.00009654493,0.00006214168,0.001412476,0.0001731754,0.0002918824,0.00008091428,0.00008974754,0.000007168954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004319684,"about_ca_system_score_gemma":0.00002866554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001162567,"about_ca_topic_score_gemma":0.000001749174,"domain_scores_codex":[0.9972958,0.0006535916,0.0006841237,0.0004631845,0.0005406027,0.0003626712],"domain_scores_gemma":[0.9973117,0.001746329,0.000244861,0.0002967479,0.00023356,0.0001668259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004268919,0.00008586969,0.03622299,0.00001016528,0.000007540933,9.054493e-8,0.0004810599,0.000004740086,0.002189529,0.0001330762,0.0007217669,0.9601005],"study_design_scores_gemma":[0.004587567,0.001596814,0.2581624,0.0001029023,0.00005934501,0.00001297548,0.0004081205,0.6041576,0.003017094,0.02883612,0.09851822,0.000540759],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09668428,0.001437054,0.8978266,0.0005187243,0.002573233,0.0008882209,0.00000354272,0.00005280454,0.0000154991],"genre_scores_gemma":[0.2053975,0.00002046795,0.7935928,0.0002292312,0.0005254212,0.0000774824,0.0001026382,0.000006435672,0.00004800382],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9595597,"threshold_uncertainty_score":0.8575405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4237911631164247,"score_gpt":0.5091590408962477,"score_spread":0.08536787777982302,"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."}}