{"id":"W2539242164","doi":"10.1080/09553002.2016.1233370","title":"RENEB intercomparisons applying the conventional Dicentric Chromosome Assay (DCA)","year":2016,"lang":"en","type":"article","venue":"International Journal of Radiation Biology","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Canadian Nuclear Laboratories","funders":"European Commission","keywords":"Dicentric chromosome; Biodosimetry; Pooling; Operability; Medicine; Analyser; Medical physics; Harmonization; Computer science; Nuclear medicine; Chromosome; Biology; Artificial intelligence; Chemistry; 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":[0.0005017771,0.00009353268,0.0001205635,0.0001114266,0.00005267599,0.00002578854,0.0004067775,0.0000880977,0.0001635073],"category_scores_gemma":[0.0001891714,0.00005427934,0.0001698629,0.00005231288,0.00009276323,0.00001053392,0.00008681083,0.00008242698,0.00001462962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007942269,"about_ca_system_score_gemma":0.0001161151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006384218,"about_ca_topic_score_gemma":0.00001085019,"domain_scores_codex":[0.9989967,0.0001519221,0.0003776751,0.000138748,0.0002027158,0.0001321941],"domain_scores_gemma":[0.9990197,0.00009397776,0.0003999763,0.0001203405,0.0003119709,0.00005406112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001907831,0.0001097599,0.06048802,0.00000179962,0.0004792715,0.000007795644,0.00003033481,0.00006779956,0.8229352,0.003142421,0.00877076,0.1037761],"study_design_scores_gemma":[0.002678647,0.0004952215,0.05438323,0.00003997505,0.00004674375,0.0005130133,0.00008844992,0.0001129439,0.1559742,0.001213193,0.7842294,0.0002249799],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8446274,0.001842737,0.1386085,0.01029042,0.00365468,0.000267924,0.0001192198,0.000007916774,0.0005811699],"genre_scores_gemma":[0.9971435,0.0006307217,0.0002243694,0.0004668164,0.001271941,0.00001738579,0.00004590145,0.000007594964,0.0001917698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7754586,"threshold_uncertainty_score":0.2213447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238555408774443,"score_gpt":0.2963137666927408,"score_spread":0.2839282126049964,"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."}}