{"id":"W2951693812","doi":"10.15252/msb.20177985","title":"Mapping DNA damage‐dependent genetic interactions in yeast via party mating and barcode fusion genetics","year":2018,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Lunenfeld-Tanenbaum Research Institute; Muscular Dystrophy Canada; University of Toronto","funders":"National Human Genome Research Institute; Canadian Institutes of Health Research; Israel National Road Safety Authority","keywords":"Biology; Genetics; Mating; Yeast; Computational biology; DNA; Barcode","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":[0.0004809588,0.0005821271,0.0004110517,0.0006189526,0.0001946117,0.0004618145,0.0005661335,0.0005433107,0.0009042986],"category_scores_gemma":[0.0003450818,0.0004216068,0.0005068422,0.0003847877,0.0005113259,0.000287526,0.001016621,0.001019785,0.0004905274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005019887,"about_ca_system_score_gemma":0.0002497061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007803715,"about_ca_topic_score_gemma":0.001314897,"domain_scores_codex":[0.9992933,0.0001094885,0.00005931546,0.0001278186,0.0003250174,0.00008499335],"domain_scores_gemma":[0.9994267,0.0001323107,0.0002256252,0.0001116799,0.00004013274,0.00006353553],"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":[0.00002420761,0.00001131382,0.00009747378,0.00001223144,0.000004122128,0.00001659801,0.00000743504,0.0001173347,0.9988692,0.00006354626,0.00001512633,0.0007613688],"study_design_scores_gemma":[0.000006289304,0.00008965287,0.001704768,0.000003443888,0.000007493775,0.0001143873,0.00001279723,0.001541059,0.995818,0.00005268174,0.0006408595,0.000008582761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074945,0.000469616,0.087942,0.0001685784,0.00004181532,0.0002507429,0.001265093,0.0008857147,0.001481922],"genre_scores_gemma":[0.9281651,0.0005000224,0.06616815,0.0001482766,0.000009247487,0.0002797771,0.001399621,0.0003055757,0.003024046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009042986,"threshold_uncertainty_score":0.003642201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788519417447318,"score_gpt":0.2888543747497163,"score_spread":0.2709691805752431,"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."}}