{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002287659,0.0006637695,0.0002683915,0.0002673385,0.0003508504,0.0001911794,0.0005145187,0.001269799,0.002155671],"category_scores_gemma":[0.0001514925,0.0001975567,0.0002775363,0.0002432934,0.0003765126,0.0003008885,0.0002515892,0.001443533,0.000803221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004728968,"about_ca_system_score_gemma":0.0003625463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005271721,"about_ca_topic_score_gemma":0.001032294,"domain_scores_codex":[0.9998431,0.00002254338,0.000004831064,0.00004066137,0.0000504395,0.0000383485],"domain_scores_gemma":[0.9999356,0.0000186524,0.00001190895,0.000007460908,0.00000918816,0.00001721388],"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":[0.00008695634,0.00004146392,0.00006855943,0.0001556441,0.000008587408,0.0001375782,0.00002606609,0.0001705841,0.9911484,0.001031216,0.001364706,0.005760263],"study_design_scores_gemma":[0.00003983423,0.0003487804,0.0003925625,0.00001215209,0.00001257887,0.0004737216,0.00001278026,0.0007474431,0.9835095,0.0001835754,0.01425873,0.000008365594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7555763,0.06868637,0.1109757,0.007688465,0.00183449,0.0005307378,0.00187646,0.001567852,0.05126359],"genre_scores_gemma":[0.9184577,0.02107331,0.03428449,0.001633946,0.0002256329,0.0003098272,0.001241918,0.00006696632,0.0227061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002155671,"threshold_uncertainty_score":0.007211387,"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."}}