{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125636,0.001004251,0.0008834566,0.00175081,0.0007041717,0.001036781,0.001336571,0.0009831416,0.002132259],"category_scores_gemma":[0.0009436057,0.0005527858,0.0005773349,0.0009557178,0.0006147798,0.0006646098,0.0007705138,0.001166438,0.001039051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020198,"about_ca_system_score_gemma":0.001225859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001865358,"about_ca_topic_score_gemma":0.005114624,"domain_scores_codex":[0.9985791,0.0001590055,0.0001003637,0.0003758955,0.0007055213,0.00008007968],"domain_scores_gemma":[0.9989588,0.0002090686,0.0001887396,0.0002187189,0.000363044,0.00006149559],"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":[0.00003139036,0.00005611471,0.0008263431,0.000112884,0.00002630797,0.00002443565,0.00003946292,0.0008664169,0.9809429,0.0005926469,0.0004878904,0.01599322],"study_design_scores_gemma":[0.00001299373,0.0001973918,0.008190334,0.00001901926,0.00003971544,0.0004295818,0.00003395124,0.03959315,0.942861,0.0005775134,0.007978471,0.00006691524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07569136,0.0008096306,0.9132195,0.0001647343,0.0001159743,0.0005630626,0.001659618,0.004347505,0.003428538],"genre_scores_gemma":[0.158396,0.000909797,0.831639,0.0001822213,0.00004747673,0.001799883,0.001898041,0.0004240586,0.004703514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002132259,"threshold_uncertainty_score":0.007402062,"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."}}