{"id":"W3003745537","doi":"10.3390/cells9020344","title":"An Automated, Single Cell Quantitative Imaging Microscopy Approach to Assess Micronucleus Formation, Genotoxicity and Chromosome Instability","year":2020,"lang":"en","type":"article","venue":"Cells","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Research Institute in Oncology and Hematology; CancerCare Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Strong; University of Pennsylvania","keywords":"Micronucleus test; Micronucleus; Genome instability; Genotoxicity; Biology; Genetics; Chromosome; Computational biology; Cell biology; DNA damage; Gene; DNA; Chemistry","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":[0.0001542122,0.00020354,0.0001997226,0.00003111846,0.0001374708,0.0001219405,0.0001970476,0.00008526797,0.000008593194],"category_scores_gemma":[0.0000150288,0.0002128465,0.00005764595,0.0001263262,0.00008044531,0.00002180069,0.0001664732,0.00008632671,0.00001448591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004195534,"about_ca_system_score_gemma":0.00005576927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002572825,"about_ca_topic_score_gemma":0.000008635878,"domain_scores_codex":[0.9987158,0.00009393715,0.0002472712,0.0005400149,0.0001162735,0.0002867724],"domain_scores_gemma":[0.9992236,0.000009205004,0.00008384261,0.0003027638,0.0001080886,0.000272503],"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":[0.00005015616,0.0002473402,0.0004404067,0.000106594,0.00001084459,0.000001753333,0.0009415775,0.000320161,0.9968001,0.00001018585,0.0009134301,0.000157398],"study_design_scores_gemma":[0.0003838523,0.0004604458,0.001185832,0.000004541903,0.00001553029,0.000006574877,0.0008400424,0.007308659,0.985634,0.0000050429,0.003883902,0.0002715937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657713,0.0002714959,0.03239742,0.0001272853,0.0000548012,0.0004719639,0.0001400568,0.00006519898,0.0007004585],"genre_scores_gemma":[0.9672889,0.00002239846,0.0311589,0.001249313,0.00006940129,0.00001886641,0.0001535848,0.00002672137,0.00001198802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01116617,"threshold_uncertainty_score":0.8679627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749906752882805,"score_gpt":0.2900755113117881,"score_spread":0.2625764437829601,"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."}}