{"id":"W4221095165","doi":"10.1016/j.molcel.2021.12.008","title":"Identification and functional characterization of transcriptional activators in human cells","year":2022,"lang":"en","type":"article","venue":"Molecular Cell","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":132,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Biology; Proteome; Computational biology; Chromatin; Transactivation; Transcription factor; Fusion protein; Activator (genetics); Proteomics; Transcription (linguistics); Human proteome project; Interactome; Cell 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":[0.0001146347,0.00006031714,0.00005521277,0.00007139452,0.00006362807,0.000007174555,0.00004957349,0.00003503146,0.00008296909],"category_scores_gemma":[0.000003234242,0.00007387716,0.00003269138,0.0000911269,0.00002612533,0.000004917215,0.00003778114,0.00005902999,7.123945e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001332984,"about_ca_system_score_gemma":0.00002346418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000492052,"about_ca_topic_score_gemma":8.673096e-7,"domain_scores_codex":[0.9993903,0.00006720472,0.0001636149,0.0001757753,0.0001350234,0.00006806239],"domain_scores_gemma":[0.9997755,0.000001277972,0.00007531161,0.0001036965,0.00002268554,0.0000215145],"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":[0.00002345014,0.00007817634,0.0004374104,0.00001042098,0.000004121826,7.128766e-7,0.00002736813,0.00009065723,0.9987911,0.0002847118,0.00004840657,0.0002034936],"study_design_scores_gemma":[0.0003391982,0.0000647837,0.008437562,0.000001445658,0.000003426157,0.00000125112,0.00003100969,0.00004280878,0.9848437,0.0000461217,0.006117158,0.00007150177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940461,0.00006301583,0.00533418,0.00005403403,0.0000908081,0.0001368753,0.00002731454,0.000003605458,0.0002440737],"genre_scores_gemma":[0.9986568,0.000008696051,0.00003210037,0.0000868794,0.00001938439,0.00003960597,0.0005912053,0.000009411393,0.0005559343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01394734,"threshold_uncertainty_score":0.3012623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005865599256928514,"score_gpt":0.1960477070677946,"score_spread":0.1901821078108661,"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."}}