{"id":"W2467221151","doi":"10.1093/rpd/ncw161","title":"Radiation Dose Estimation by Automated Cytogenetic Biodosimetry","year":2016,"lang":"en","type":"article","venue":"Radiation Protection Dosimetry","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories; Health Canada; Cytodiagnostics (Canada); Western University","funders":"","keywords":"Biodosimetry; Dicentric chromosome; Mass Casualty; Ionizing radiation; Calibration curve; Nuclear medicine; Triage; Calibration; Metaphase; Radiation; Radiation dose; Medicine; Biology; Chromosome; Irradiation; Physics; Optics; Mathematics; Statistics; Karyotype; Genetics","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":[0.0002958063,0.0002192321,0.0001497587,0.0001966811,0.0001874163,0.00005646448,0.0001236201,0.0002749872,0.0001198615],"category_scores_gemma":[0.0001706404,0.0001877101,0.0001073781,0.0003911384,0.00004965446,0.00002555549,0.0000429234,0.00007407791,0.0001160177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001607993,"about_ca_system_score_gemma":0.00007823388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000414795,"about_ca_topic_score_gemma":0.000003309481,"domain_scores_codex":[0.9984611,0.0001504176,0.0003525719,0.0004888874,0.0002738778,0.0002731831],"domain_scores_gemma":[0.9991798,0.00001932119,0.0002306198,0.0003710175,0.00007690092,0.000122352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005895794,0.00006598881,0.00163211,0.00001169781,0.00004804517,2.992466e-7,0.000009350443,0.000171988,0.8372725,0.00001476633,0.00399006,0.1567242],"study_design_scores_gemma":[0.001288861,0.0003225232,0.02331785,0.00001321542,0.0000277893,0.00001347406,0.000008617503,0.006466527,0.9529775,0.00003373917,0.01523026,0.0002996208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7618102,0.0008947371,0.2350251,0.000541842,0.0003902465,0.0008616705,0.00008953873,0.0002685683,0.0001180321],"genre_scores_gemma":[0.9976468,0.0002396947,0.000670001,0.0002259573,0.0002260333,0.0001482381,0.0002437283,0.00003729816,0.0005622134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2358366,"threshold_uncertainty_score":0.7654595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007736228819465198,"score_gpt":0.2567054068350618,"score_spread":0.2489691780155966,"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."}}