{"id":"W2163052215","doi":"10.1038/nmeth.1550","title":"Knocking out multigene redundancies via cycles of sexual assortment and fluorescence selection","year":2011,"lang":"en","type":"article","venue":"Nature Methods","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; National Human Genome Research Institute","keywords":"Biology; Genetics; Gene; Phenotype; Population; Allele; Saccharomyces cerevisiae; Function (biology); Computational biology","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":[0.0007002858,0.000660434,0.0005348827,0.0006846348,0.0003604981,0.0005970363,0.0008093385,0.0005578141,0.002400734],"category_scores_gemma":[0.0008363692,0.000442376,0.0005341852,0.0004640133,0.0007017383,0.0005329062,0.001353805,0.001590178,0.000442885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007323114,"about_ca_system_score_gemma":0.0003936671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004535736,"about_ca_topic_score_gemma":0.001552131,"domain_scores_codex":[0.9994585,0.0001080054,0.00004911853,0.0001247783,0.0001696361,0.00008995378],"domain_scores_gemma":[0.9988773,0.0004087892,0.000285797,0.0002426932,0.00005063704,0.0001347794],"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":[0.0001251432,0.00005664074,0.0004647394,0.00003094577,0.00001545029,0.0000517601,0.00003711007,0.0003491164,0.9912985,0.001504,0.000120133,0.005946471],"study_design_scores_gemma":[0.0000627569,0.0002232236,0.002617711,0.00001026251,0.00003947386,0.0004319694,0.00003921373,0.01050741,0.980172,0.001087661,0.004772566,0.00003571755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9446537,0.0005350492,0.04987076,0.000335181,0.00007520138,0.0001708113,0.0004116306,0.000803163,0.003144426],"genre_scores_gemma":[0.9736832,0.0002830178,0.01968991,0.0002307053,0.00001644018,0.000221667,0.0002939564,0.0003128696,0.005268153],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002400734,"threshold_uncertainty_score":0.008031249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04054111575502162,"score_gpt":0.3812363879806367,"score_spread":0.3406952722256151,"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."}}