{"id":"W4402528565","doi":"10.1002/em.22619","title":"Power analyses to inform Duplex Sequencing study designs for <scp>MutaMouse</scp> liver and bone marrow","year":2024,"lang":"en","type":"article","venue":"Environmental and Molecular Mutagenesis","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Health Canada; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Health Canada; University of Ottawa","keywords":"Bone marrow; Computational biology; Biology; Duplex (building); Genetics; DNA; Immunology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1550831,0.001188178,0.001225762,0.001193787,0.0006897391,0.001489545,0.001550461,0.001788717,0.006719679],"category_scores_gemma":[0.3248891,0.0007784141,0.002082485,0.0008391005,0.001389069,0.002283387,0.00142681,0.002596528,0.0006360963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009043657,"about_ca_system_score_gemma":0.001718562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005368661,"about_ca_topic_score_gemma":0.0005758426,"domain_scores_codex":[0.9047744,0.08268201,0.003913813,0.003185294,0.004671217,0.0007732817],"domain_scores_gemma":[0.5588314,0.410099,0.01078878,0.01141312,0.007870289,0.0009974646],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02568274,0.002021801,0.1268291,0.005090454,0.007117128,0.001245393,0.002689549,0.2065904,0.07984396,0.08643559,0.01797938,0.4384745],"study_design_scores_gemma":[0.006004872,0.02125005,0.07133693,0.001371332,0.003577624,0.0007629166,0.000709888,0.6370097,0.0931839,0.1209311,0.04357777,0.0002839832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1156532,0.0007674898,0.8688937,0.00128372,0.0003178126,0.006826,0.001185003,0.0008062054,0.004266991],"genre_scores_gemma":[0.6509641,0.0001395576,0.3347565,0.0008646019,0.00005781616,0.0118626,0.0004412955,0.0001784799,0.0007349855],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8449169,"threshold_uncertainty_score":0.8201677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062287070202339,"score_gpt":0.2646275824162012,"score_spread":0.2440047117141778,"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."}}