{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002613429,0.0002242218,0.0002332556,0.0001765677,0.000124677,0.00005019271,0.0002509982,0.0001902137,0.00002197887],"category_scores_gemma":[0.00006448418,0.0002147455,0.00005454807,0.0001718815,0.0002028201,0.000003539975,0.0004350297,0.0001769408,0.00004489725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002862628,"about_ca_system_score_gemma":0.00005879396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001853949,"about_ca_topic_score_gemma":0.0002277884,"domain_scores_codex":[0.998017,0.0003617259,0.0004037629,0.000598605,0.000137471,0.000481453],"domain_scores_gemma":[0.9991499,0.0000139918,0.0001003047,0.0004448252,0.0001499377,0.000141068],"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":[0.00002893565,0.00003659638,0.01013152,0.00004484381,0.00003576704,0.00001860225,0.0001040278,0.000122328,0.9863628,0.00003704214,0.00007074141,0.003006782],"study_design_scores_gemma":[0.001608442,0.001004593,0.03213671,0.0001764663,0.00002350899,0.0003866631,0.0005752202,0.02686254,0.9115548,0.0002333196,0.02457373,0.0008639924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728783,0.002138169,0.02315677,0.00009918269,0.0004281662,0.000372731,0.00002596385,0.00001405087,0.0008866214],"genre_scores_gemma":[0.9978245,0.0001435876,0.001095379,0.0001304843,0.0003435845,0.00006312897,0.00007357472,0.00003482362,0.0002909075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07480799,"threshold_uncertainty_score":0.8757069,"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."}}