{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001647282,0.0003785017,0.0003502133,0.0008470459,0.0002668414,0.0002265864,0.000229835,0.0001338376,0.002080865],"category_scores_gemma":[0.0002032032,0.0001178055,0.0004537427,0.0009151018,0.000106951,0.0001027737,0.0003349095,0.0002979704,0.0005547053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002747738,"about_ca_system_score_gemma":0.0002126788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001433046,"about_ca_topic_score_gemma":0.002278783,"domain_scores_codex":[0.9998841,0.00002415592,0.0000101019,0.000037405,0.00003038199,0.00001375818],"domain_scores_gemma":[0.9999195,0.00003240924,0.00001678389,0.00001072633,0.000009442209,0.00001108487],"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":[0.0005899427,0.00007139938,0.003997526,0.0003911138,0.0001814138,0.000576774,0.00007343577,0.003782129,0.9736829,0.001859019,0.000973277,0.01382102],"study_design_scores_gemma":[0.0001696179,0.0006196827,0.1140689,0.00005838752,0.0005169532,0.002810758,0.0002331765,0.1393233,0.6905342,0.005852561,0.04572361,0.00008867429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8980663,0.001947351,0.07084735,0.0001781335,0.00003753528,0.0001513727,0.02435393,0.001398126,0.003019884],"genre_scores_gemma":[0.9239836,0.001059507,0.04783723,0.00004334706,0.000005477071,0.0001462658,0.02521415,0.0001308903,0.001579442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002080865,"threshold_uncertainty_score":0.006961167,"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."}}