{"id":"W1981455009","doi":"10.1093/mutage/geu066","title":"RE: Recommendations, evaluation and validation of a semi-automated, fluorescent-based scoring protocol for micronucleus testing in human cells (Mutagenesis, 29, 155–164, 2014)","year":2014,"lang":"en","type":"letter","venue":"Mutagenesis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"","keywords":"Micronucleus test; Mutagenesis; Protocol (science); Computational biology; Micronucleus; Computer science; Chemistry; Biology; Genetics; Medicine; Mutation; Gene; Pathology; Toxicity","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":[0.03498555,0.001495239,0.001870355,0.002328401,0.004257396,0.005040198,0.009557079,0.08291087,0.01113322],"category_scores_gemma":[0.07551242,0.001945175,0.002477212,0.001436058,0.005247835,0.003374344,0.003657391,0.0338568,0.0327602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008578008,"about_ca_system_score_gemma":0.01481977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01688934,"about_ca_topic_score_gemma":0.03489251,"domain_scores_codex":[0.9646971,0.01125672,0.005912876,0.001993426,0.01380936,0.002330512],"domain_scores_gemma":[0.9137693,0.03133622,0.005349793,0.004861905,0.04007133,0.004611476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001076624,0.0001603902,0.0005198555,0.0001453296,0.00001743434,0.0004497177,0.00009232295,0.0001034933,0.00152533,0.001449965,0.9744017,0.02102688],"study_design_scores_gemma":[0.0002403585,0.0002942581,0.004465285,0.0007375655,0.00007394498,0.001274464,0.0002562265,0.0008676054,0.004308956,0.005233506,0.9820927,0.0001549157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001174462,0.003699487,0.00757889,0.935554,0.03044137,0.000877291,0.001303612,0.00157668,0.01779427],"genre_scores_gemma":[0.003416435,0.001547289,0.02024751,0.9183412,0.01061542,0.001345614,0.0009121069,0.0004496804,0.04312469],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08291087,"threshold_uncertainty_score":0.1850235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0491655350245824,"score_gpt":0.3467654876583058,"score_spread":0.2975999526337234,"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."}}