{"id":"W2800979215","doi":"10.1101/315085","title":"Multisite phosphorylation regulates phenotypic variability in antibiotic tolerance","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Azrieli Foundation","keywords":"Sasa; Biology; Phenotype; Gene; Phosphorylation; Population; Gene expression; Regulation of gene expression; Genetics; Computational biology; Cell biology; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001444792,0.0006435097,0.000665547,0.000204725,0.0001270275,0.0001121339,0.0006265776,0.001009059,0.00003498451],"category_scores_gemma":[0.0003122216,0.000745788,0.0002613297,0.0005579423,0.0002335654,0.00001263099,0.0006337559,0.000447157,0.00004698567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000202539,"about_ca_system_score_gemma":0.0003325208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000752316,"about_ca_topic_score_gemma":0.00002951731,"domain_scores_codex":[0.9961641,0.0004330472,0.0007298491,0.001712796,0.0003146495,0.0006455156],"domain_scores_gemma":[0.9965649,0.00003293575,0.0004736908,0.002242706,0.000483818,0.0002019144],"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":[0.00007948114,0.0001668307,0.1648631,0.0002096915,0.0001869156,0.000008606212,0.00000542064,0.003536869,0.8305844,0.00002868568,0.0003200387,0.000009934073],"study_design_scores_gemma":[0.0003972498,0.0000432844,0.4043306,0.0001827594,0.00009911976,1.171146e-8,6.97739e-7,0.004880055,0.5882386,0.00000632003,0.001140835,0.0006804068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936216,0.002115185,0.002692177,0.00004781916,0.0007241366,0.0006288528,0.00006385932,0.00009332282,0.00001308613],"genre_scores_gemma":[0.9928456,0.0002844971,0.005674816,0.00009034885,0.0009078817,0.00004992107,0.000004570642,0.0001262,0.00001615003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2423458,"threshold_uncertainty_score":0.9994993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006977723129427855,"score_gpt":0.210250028878987,"score_spread":0.2032723057495592,"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."}}