{"id":"W2999167819","doi":"10.3390/molecules25020325","title":"In Depth Analysis of Kinase Cross Screening Data to Identify CAMKK2 Inhibitory Scaffolds","year":2020,"lang":"en","type":"article","venue":"Molecules","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Health and Medical Research Council; Novartis Pharma; National Institutes of Health; Medical Research Council; Ministero dello Sviluppo Economico; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; National Cancer Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ontario Ministry of Economic Development and Innovation; Pfizer","keywords":"AMPK; Kinase; Protein kinase A; Enzyme; Biochemistry; Chemistry; Biology; Cell 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":[0.0008080459,0.000958426,0.001116622,0.003614881,0.000508471,0.0006705297,0.0005316214,0.0003488498,0.00609257],"category_scores_gemma":[0.001359479,0.0002192747,0.001119328,0.003662792,0.0001902999,0.0006606284,0.0003076424,0.0006430335,0.001928217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004454606,"about_ca_system_score_gemma":0.0007627895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001257293,"about_ca_topic_score_gemma":0.001902169,"domain_scores_codex":[0.9994035,0.000055631,0.00008445326,0.0001086134,0.0002591073,0.00008868183],"domain_scores_gemma":[0.9990246,0.0002838396,0.0002459245,0.00009351186,0.0002855237,0.00006667999],"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":[0.0006728583,0.0002500993,0.003272693,0.00118857,0.0002095456,0.0004588195,0.00008195739,0.001612131,0.9659282,0.0002917253,0.0009629379,0.02507052],"study_design_scores_gemma":[0.00006786536,0.00115958,0.03715636,0.00007884444,0.0007916092,0.00242067,0.0001793146,0.008012755,0.9304139,0.0004262863,0.01920993,0.00008288801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8937844,0.02146158,0.02718886,0.0003632587,0.0001418086,0.0004501228,0.0411025,0.001534209,0.01397331],"genre_scores_gemma":[0.8660827,0.01580243,0.03857305,0.0002776999,0.00007642677,0.0003628316,0.0722663,0.0003695315,0.006189034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00609257,"threshold_uncertainty_score":0.02038169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05823401505428979,"score_gpt":0.3414051645644878,"score_spread":0.2831711495101981,"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."}}