{"id":"W2799455659","doi":"10.1177/2472555218773045","title":"Application of Integrated Drug Screening/Kinome Analysis to Identify Inhibitors of Gemcitabine-Resistant Pancreatic Cancer Cell Growth","year":2018,"lang":"en","type":"article","venue":"SLAS DISCOVERY","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Institute of Mental Health; Triangle Comparative and Evolutionary Medicine Center, Duke University; National Institutes of Health","keywords":"Kinome; Cyclin-dependent kinase; Kinase; Gemcitabine; Biology; CDK inhibitor; Pancreatic cancer; Cell growth; Cancer research; Growth inhibition; Cyclin-dependent kinase 2; Cell cycle; Cell biology; Cancer; Cell; Biochemistry; Protein kinase A; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003280806,0.0005933399,0.0009818742,0.001015749,0.0002207772,0.0005243644,0.0002749345,0.0003215273,0.001050335],"category_scores_gemma":[0.0002637249,0.000256169,0.0004391008,0.0008697464,0.0001385515,0.0002910233,0.0003669588,0.0004343484,0.0003171349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000511313,"about_ca_system_score_gemma":0.0002992986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007854735,"about_ca_topic_score_gemma":0.001838784,"domain_scores_codex":[0.9996598,0.00004530642,0.00002388275,0.00008838758,0.000133517,0.00004923761],"domain_scores_gemma":[0.9998494,0.00003286304,0.00004108953,0.00001713411,0.00003675582,0.00002273813],"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":[0.0002416741,0.00009860801,0.0009197713,0.00008619909,0.00004753412,0.00004182775,0.00001149438,0.0008730934,0.9872189,0.00004941734,0.0000813224,0.01033013],"study_design_scores_gemma":[0.00004363465,0.0009832869,0.01480257,0.000006249919,0.0001254736,0.0003567405,0.0000270629,0.01553898,0.9660445,0.00009718437,0.001942876,0.00003143165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508265,0.003723591,0.03840026,0.0001373927,0.00004380444,0.0003363419,0.002894209,0.001086335,0.002551509],"genre_scores_gemma":[0.9578335,0.001904058,0.03551839,0.0001094638,0.00001183522,0.0002987681,0.002489918,0.00004203718,0.001792024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001050335,"threshold_uncertainty_score":0.003709912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672909287430834,"score_gpt":0.3394272727758373,"score_spread":0.3226981799015289,"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."}}