{"id":"W3157746729","doi":"10.1126/science.abf8424","title":"Environmental robustness of the global yeast genetic interaction network","year":2021,"lang":"en","type":"article","venue":"Science","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Human Genome Research Institute; Canadian Institutes of Health Research; National Institutes of Health; National Science Foundation","keywords":"Robustness (evolution); Yeast; Saccharomyces cerevisiae; Computer science; Computational biology; Biology; Genetics; Gene","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":[0.0003647863,0.0002857164,0.000372581,0.0009755605,0.0003302342,0.0007418773,0.0003071604,0.0002361633,0.0008591993],"category_scores_gemma":[0.001936339,0.0001808842,0.0003070069,0.0006583115,0.0006211675,0.0006975513,0.0005829053,0.0003249696,0.0001491584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004558068,"about_ca_system_score_gemma":0.0002837722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001136239,"about_ca_topic_score_gemma":0.001505989,"domain_scores_codex":[0.999588,0.00007916135,0.00002333251,0.000172142,0.00008052184,0.00005687327],"domain_scores_gemma":[0.9989681,0.000379757,0.0002687064,0.0001456259,0.0001280396,0.0001098071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008349513,0.00008247293,0.1060999,0.0004262481,0.0005371383,0.0009202376,0.0003332015,0.2177688,0.609211,0.01395833,0.0008776439,0.04895016],"study_design_scores_gemma":[0.00006684884,0.0004100393,0.4900343,0.00006072301,0.0004541826,0.001871751,0.0005531617,0.3666512,0.09058926,0.04163454,0.007524441,0.0001496196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779866,0.000324073,0.01844882,0.00008723255,0.000005140939,0.00001928313,0.0007590472,0.0001720973,0.002197728],"genre_scores_gemma":[0.9967014,0.0001365811,0.002255603,0.00001534359,0.000003381338,0.00002013959,0.0006069035,0.00001917477,0.0002414463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001136239,"threshold_uncertainty_score":0.003307164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008723477007114575,"score_gpt":0.2604912223607232,"score_spread":0.2517677453536086,"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."}}