{"id":"W4306939786","doi":"10.1101/2022.10.18.512752","title":"SGC-CAMKK2-1: A chemical probe for CAMKK2","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer therapeutics and mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemistry; Novartis Pharma; Ministero dello Sviluppo Economico; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ontario Ministry of Economic Development and Innovation; National Cancer Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Pfizer; University of North Carolina at Chapel Hill; National Institutes of Health; National Science Foundation","keywords":"Protein kinase A; Kinase; Chemistry; Serine; Biochemistry; Phosphorylation","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":[0.0003586154,0.0006831491,0.0002488702,0.0003870405,0.000340201,0.0002355018,0.0005415133,0.001052467,0.004529453],"category_scores_gemma":[0.000175044,0.0002444094,0.0002792147,0.0002545961,0.0004330039,0.0002576333,0.0002606259,0.001371616,0.001538638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000529297,"about_ca_system_score_gemma":0.0003646125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005783273,"about_ca_topic_score_gemma":0.000855535,"domain_scores_codex":[0.9998081,0.00002885368,0.000005505692,0.00005165698,0.00006665119,0.000039248],"domain_scores_gemma":[0.9999176,0.00002387475,0.00001383977,0.00001109028,0.00001144027,0.00002208879],"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":[0.00008261897,0.00002925993,0.00005941119,0.0001059798,0.00000929983,0.00007981927,0.00001359712,0.0001403453,0.9933406,0.001145967,0.001899896,0.003093128],"study_design_scores_gemma":[0.00003747999,0.0001324731,0.0002834195,0.000007178158,0.00001084666,0.0002319764,0.000005848594,0.0006441179,0.9864799,0.0001873646,0.01197392,0.000005498711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6985384,0.04712956,0.1737453,0.009124264,0.002552629,0.0005802322,0.00365313,0.002882541,0.06179397],"genre_scores_gemma":[0.8607914,0.01242997,0.06273747,0.001728138,0.0003167932,0.0003651798,0.002764239,0.0002292768,0.05863756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004529453,"threshold_uncertainty_score":0.01515251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476837181877191,"score_gpt":0.2389591708058294,"score_spread":0.2241907989870575,"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."}}