{"id":"W4385597902","doi":"10.1016/j.bbagen.2023.130441","title":"Towards the CSNK2 phosphoproteome – With lessons from the COVID-19 pandemic to revealing the secrets of CSNK2 and its promise as a therapeutic target","year":2023,"lang":"en","type":"article","venue":"Biochimica et Biophysica Acta (BBA) - General Subjects","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Phosphoproteomics; Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computational biology; Biology; Kinase; Nanotechnology; Medicine; Cell biology; Protein kinase A; Virology; Protein phosphorylation; Disease; Infectious disease (medical specialty)","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":[0.0003724242,0.0003282007,0.0002592778,0.00003759956,0.0003995457,0.00008733095,0.00055143,0.0001717661,0.00002080354],"category_scores_gemma":[0.000128224,0.0001627676,0.0001315863,0.0004652018,0.0002013249,0.00001132669,0.0002941084,0.0002530283,0.00001331667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002646811,"about_ca_system_score_gemma":0.0002743472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004405092,"about_ca_topic_score_gemma":0.0001248633,"domain_scores_codex":[0.9982229,0.0002582511,0.0002396498,0.0005880693,0.00030316,0.0003879091],"domain_scores_gemma":[0.9988047,0.00008712531,0.0001865909,0.0006828021,0.00008295892,0.0001557979],"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":[0.0005561743,0.00002201317,0.00006331475,0.0000193301,0.0002091134,0.00000229844,0.001190244,0.00005830387,0.9950706,0.0002161441,0.002091111,0.0005013456],"study_design_scores_gemma":[0.0007168297,0.0005582758,0.01111292,0.00002641201,0.0001293341,0.00003171694,0.0003637641,0.0001749364,0.9756073,0.0009380218,0.009994201,0.0003463108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806707,0.0005464677,0.00005629873,0.01730532,0.0001608778,0.0009261864,0.0001693342,0.00005249796,0.0001122985],"genre_scores_gemma":[0.9909499,0.0004983281,0.0001492092,0.00726626,0.0004794453,0.0001090654,0.0001933163,0.00005719047,0.0002972621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01946333,"threshold_uncertainty_score":0.663747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03553452231068763,"score_gpt":0.2926617859349103,"score_spread":0.2571272636242226,"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."}}