{"id":"W3046182450","doi":"10.1002/hep4.1559","title":"Targeted Inhibition of Purine Metabolism Is Effective in Suppressing Hepatocellular Carcinoma Progression","year":2020,"lang":"en","type":"article","venue":"Hepatology Communications","topic":"Biochemical and Molecular Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Cancer Science Institute of Singapore, National University of Singapore; Biomedical Research Council; National Medical Research Council; Medical Research Council; Agency for Science, Technology and Research","keywords":"Cancer research; Biology; Carcinogenesis; Purine metabolism; Kinome; Gene knockdown; PI3K/AKT/mTOR pathway; Cancer; Kinase; Signal transduction; Biochemistry; Enzyme; Apoptosis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001316966,0.0001252526,0.000220368,0.0000609404,0.0000741145,0.00000723445,0.0003924629,0.0002055306,0.00002100803],"category_scores_gemma":[0.0001576907,0.0001227594,0.00008846063,0.0002517593,0.0003078606,0.000005442298,0.0006634071,0.0002511583,0.000006606729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001051375,"about_ca_system_score_gemma":0.00007103687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000041379,"about_ca_topic_score_gemma":0.00001371888,"domain_scores_codex":[0.9987822,0.0003337601,0.0002719859,0.0002823577,0.000112186,0.0002175742],"domain_scores_gemma":[0.9989448,0.00002805362,0.00009254332,0.0007151422,0.0001240612,0.00009546009],"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":[0.00009113045,0.0001443207,0.05038584,0.00004024013,0.00002511724,0.000005585271,0.0002382447,6.656257e-7,0.9471222,0.0002076299,0.000579001,0.00116003],"study_design_scores_gemma":[0.0006861431,0.0001184046,0.004997298,0.00001987264,0.00001631145,0.000005698377,0.00003329404,0.001720632,0.9797637,0.0001428032,0.01237531,0.0001204664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865146,0.008252996,0.0005106892,0.003616637,0.00001600275,0.0004378755,0.0000300049,0.00001257467,0.0006086286],"genre_scores_gemma":[0.9967991,0.0003286084,0.001959654,0.0003654417,0.00002328728,0.0001349807,0.0003593421,0.00001708256,0.00001248087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04538854,"threshold_uncertainty_score":0.5005984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426975263307178,"score_gpt":0.3015273371020254,"score_spread":0.2772575844689536,"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."}}