{"id":"W3023544565","doi":"10.3390/cells9051156","title":"Yeast-Based Genetic Interaction Analysis of Human Kinome","year":2020,"lang":"en","type":"article","venue":"Cells","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Precursory Research for Embryonic Science and Technology; Japan Science and Technology Agency; National Institutes of Health; National Research Foundation of Korea; Canada Excellence Research Chairs, Government of Canada; Japan Society for the Promotion of Science; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Kinome; Yeast; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002204527,0.00006312988,0.0001115351,0.00003750288,0.00001729854,0.000007558552,0.0001004534,0.00004820865,0.00007071217],"category_scores_gemma":[0.000007138716,0.00006678942,0.0001161678,0.0001258801,0.00002059687,5.671341e-7,0.00003248132,0.00002912469,0.000008023831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005298778,"about_ca_system_score_gemma":0.00002219641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001053085,"about_ca_topic_score_gemma":0.00001056529,"domain_scores_codex":[0.9995731,0.00001479509,0.0001400389,0.0001534087,0.00004567202,0.00007304952],"domain_scores_gemma":[0.9996687,0.000002279503,0.00007809257,0.0001604663,0.00003013351,0.00006028298],"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":[0.000008245222,0.0000215455,0.001183319,0.00001342974,0.0001334796,6.527713e-7,0.00002974763,0.01124577,0.9869574,0.000007444029,0.0002077316,0.0001912514],"study_design_scores_gemma":[0.0002347132,0.0002196707,0.007691171,0.000002669674,0.0002710525,2.316177e-7,0.00004941112,0.03696095,0.9512056,0.000006572961,0.003232699,0.0001252169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965412,0.00005410687,0.002829322,0.00004506727,0.00003826012,0.00004277175,0.00002637956,0.000003775572,0.000419088],"genre_scores_gemma":[0.9987349,0.000008718934,0.0006964602,0.0002841539,0.0000489603,0.000001943588,0.0001574573,0.000008742991,0.00005869696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03575175,"threshold_uncertainty_score":0.2723593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009922494209442238,"score_gpt":0.2328724802206113,"score_spread":0.222949986011169,"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."}}