{"id":"W2963836493","doi":"10.1039/9781788013604-00305","title":"Automated Identification and Scoring of Micronuclei","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Micronucleus test; Robustness (evolution); Computer science; Identification (biology); Artificial intelligence; Computational biology; Biology; 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":[0.0006127949,0.0008907337,0.0006613148,0.002467486,0.00040723,0.001145731,0.001303239,0.0007381316,0.01875865],"category_scores_gemma":[0.0006240687,0.0004157434,0.00042036,0.001833138,0.000384476,0.0008580491,0.0009616521,0.0008860236,0.02664874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004783073,"about_ca_system_score_gemma":0.0005170021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009715682,"about_ca_topic_score_gemma":0.002639571,"domain_scores_codex":[0.9992948,0.00005831336,0.00002755821,0.0001463176,0.0004422688,0.00003079211],"domain_scores_gemma":[0.999632,0.00007589525,0.00002781283,0.00004501158,0.0002021547,0.00001725889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004427474,0.0000595771,0.0006337787,0.0008054777,0.000017385,0.0001163517,0.0001241786,0.001541363,0.1385353,0.00860576,0.03936832,0.8101482],"study_design_scores_gemma":[0.000009135724,0.0001151616,0.00410191,0.0003471767,0.0000259883,0.001668718,0.0000989256,0.006304804,0.1693448,0.007526577,0.8103834,0.00007338301],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01673703,0.03421715,0.709199,0.0008751922,0.001363061,0.0009093358,0.00365704,0.007637432,0.2254048],"genre_scores_gemma":[0.02713313,0.02738095,0.5944406,0.0005924015,0.0002470887,0.0006808568,0.005677409,0.00109471,0.3427529],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01875865,"threshold_uncertainty_score":0.06275398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009892075373879395,"score_gpt":0.2415442363688636,"score_spread":0.2316521609949842,"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."}}