{"id":"W3140111409","doi":"10.3390/radiation1020008","title":"Automated Cytogenetic Biodosimetry at Population-Scale","year":2021,"lang":"en","type":"article","venue":"Radiation","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Canadian Nuclear Laboratories; Health Canada; Cytodiagnostics (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Biodosimetry; Dicentric chromosome; Population; Triage; Nuclear medicine; Ionizing radiation; Medicine; Computer science; Biology; Chromosome; Physics; Emergency medicine; Irradiation; Genetics","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":[0.00005498368,0.00007834154,0.000073999,0.00002680376,0.0000863399,0.00001982388,0.00004219616,0.00009529473,0.00009162445],"category_scores_gemma":[0.00001818514,0.00008736436,0.00006256051,0.0001160464,0.000009875598,0.000001963101,0.0000538043,0.00002422697,0.00003467474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005328356,"about_ca_system_score_gemma":0.00003981882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003259879,"about_ca_topic_score_gemma":0.0001330164,"domain_scores_codex":[0.9993713,0.00004281964,0.0001277876,0.0002281566,0.0001032063,0.0001267628],"domain_scores_gemma":[0.9996272,0.000004784201,0.00004648881,0.0002226849,0.0000476325,0.00005122579],"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":[0.00000945247,0.00003346262,0.0860216,0.000007393347,0.00002324896,0.000002442183,0.00001525186,0.0005521128,0.9075766,0.00001470135,0.002942982,0.002800701],"study_design_scores_gemma":[0.0002343264,0.00003360751,0.4054056,0.000002088976,0.00001325573,0.00001543183,0.00001053268,0.001467776,0.5810934,0.000008736138,0.01161569,0.00009961909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975691,0.001123977,0.0004294568,0.0001301005,0.0001533036,0.00008188302,0.00003180442,0.00003917894,0.000441226],"genre_scores_gemma":[0.9966033,0.0001377682,0.00071285,0.0002456752,0.0001613963,0.00000847568,0.001406548,0.00001237346,0.0007115785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3264833,"threshold_uncertainty_score":0.3562615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006195877721239672,"score_gpt":0.25696149203325,"score_spread":0.2507656143120103,"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."}}