{"id":"W4315651254","doi":"10.3390/cells12020287","title":"SGC-CAMKK2-1: A Chemical Probe for CAMKK2","year":2023,"lang":"en","type":"article","venue":"Cells","topic":"Cancer therapeutics and mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eshelman Institute for Innovation, University of North Carolina at Chapel Hill; Division of Chemistry; University of North Carolina at Chapel Hill; Janssen Biotech; National Science Foundation; Wellcome; Innovative Medicines Initiative; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Canada Foundation for Innovation; Ontario Ministry of Economic Development and Innovation; Wellcome Trust; Pfizer; National Institutes of Health","keywords":"Protein kinase A; Kinase; Serine; Chemistry; Biochemistry; Cell biology; Phosphorylation; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0000930398,0.00009843202,0.00009120955,0.00002178719,0.00003871755,0.00001550229,0.0001293381,0.0001108886,0.00002308178],"category_scores_gemma":[0.000008417603,0.00009588856,0.00009338406,0.00007460074,0.00002389703,8.884844e-7,0.00006429348,0.00003823733,0.00006620202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009831167,"about_ca_system_score_gemma":0.0000496225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000459325,"about_ca_topic_score_gemma":0.000004509371,"domain_scores_codex":[0.9993269,0.000006767853,0.00009972095,0.000252908,0.0000640694,0.0002495622],"domain_scores_gemma":[0.9996374,0.000007830548,0.00002889228,0.0002221857,0.0000396293,0.00006411563],"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":[0.00003927068,0.00001863644,0.000003777263,0.00002160061,0.00002350396,9.955359e-7,0.00002862035,0.000005021713,0.9841692,0.0002928787,0.01197391,0.003422578],"study_design_scores_gemma":[0.0003321041,0.00008761987,0.000003316539,0.000003728869,0.00001023144,0.000001557562,0.00002018369,0.00009544199,0.7310776,0.0004737573,0.2677941,0.0001003522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583824,0.0008828537,0.03225525,0.0009673482,0.001851729,0.001448935,0.0002421551,0.0001586085,0.003810719],"genre_scores_gemma":[0.979811,0.0004383432,0.002469647,0.001232932,0.0009287174,0.0002786045,0.0004205933,0.00007264242,0.01434749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2558202,"threshold_uncertainty_score":0.3910222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717393509122545,"score_gpt":0.2661284085695046,"score_spread":0.2489544734782791,"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."}}