{"id":"W2043274831","doi":"10.1007/s00411-014-0525-x","title":"Automated analysis of the cytokinesis-block micronucleus assay for radiation biodosimetry using imaging flow cytometry","year":2014,"lang":"en","type":"article","venue":"Radiation and Environmental Biophysics","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Health Canada","funders":"","keywords":"Biodosimetry; Micronucleus test; Flow cytometry; Micronucleus; Cytokinesis; Biology; Medicine; Molecular biology; Physics; Genetics; Irradiation; Cell division; Cell; Nuclear physics; Ionizing radiation; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001818639,0.001207977,0.001132387,0.003690566,0.001037574,0.001358973,0.001343368,0.00113804,0.01015783],"category_scores_gemma":[0.002600827,0.0006979579,0.0007026755,0.001406397,0.00056991,0.0007222907,0.0008317469,0.001539928,0.003953993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009823391,"about_ca_system_score_gemma":0.001503816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002156143,"about_ca_topic_score_gemma":0.004853775,"domain_scores_codex":[0.9978362,0.0002617175,0.0002347614,0.0005581668,0.0009083061,0.0002007803],"domain_scores_gemma":[0.9976023,0.0006852245,0.0002062828,0.0004090473,0.00100525,0.00009183577],"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":[0.0002465681,0.0001437472,0.002968154,0.0002228681,0.00004556669,0.0000698551,0.000182488,0.00100558,0.9349698,0.001367822,0.001713557,0.05706397],"study_design_scores_gemma":[0.00002799113,0.000155763,0.01045824,0.00005012442,0.00006035111,0.0001894084,0.00006926908,0.0370198,0.9403496,0.001106048,0.01044788,0.00006550663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1217148,0.0008020205,0.8528941,0.0003248386,0.0002679559,0.0009893983,0.003519651,0.01406383,0.005423387],"genre_scores_gemma":[0.179769,0.0008996723,0.8034155,0.0003584156,0.0001023427,0.003032251,0.004136076,0.001457604,0.006829108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01015783,"threshold_uncertainty_score":0.03398132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004477691523744497,"score_gpt":0.2258059561664501,"score_spread":0.2213282646427056,"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."}}