{"id":"W2896617398","doi":"10.1136/gutjnl-2018-316822","title":"Combating pancreatic cancer with PI3K pathway inhibitors in the era of personalised medicine","year":2018,"lang":"en","type":"review","venue":"Gut","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"Cancer Council NSW; National Health and Medical Research Council; Tour de Cure; Wellcome Trust; National Breast Cancer Foundation; PanKind, The Australian Pancreatic Cancer Foundation; Cancer Research UK","keywords":"PI3K/AKT/mTOR pathway; Medicine; Precision medicine; Biomarker; Targeted therapy; Pancreatic cancer; Clinical trial; Personalized medicine; Biomarker discovery; Bioinformatics; Signal transduction; Disease; Cancer; Cancer research; Biology; Internal medicine; Proteomics; Pathology","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":[0.000457093,0.0005556695,0.001094391,0.001872648,0.0002361617,0.0009294429,0.0006406268,0.001013862,0.00323824],"category_scores_gemma":[0.0006519781,0.0001984898,0.0006104876,0.00141667,0.0003166605,0.001149515,0.0006709002,0.001916875,0.001661554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005469624,"about_ca_system_score_gemma":0.0007407417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000616586,"about_ca_topic_score_gemma":0.001411575,"domain_scores_codex":[0.9998351,0.00002887896,0.00002809662,0.0000254428,0.00006337296,0.00001893981],"domain_scores_gemma":[0.9997744,0.0001098138,0.00003162395,0.000007106651,0.00005823906,0.00001883834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009339279,0.00007299309,0.0001679689,0.01847272,0.0001161635,0.0002399583,0.00006747686,0.0003644072,0.001724518,0.003192401,0.02337666,0.9521112],"study_design_scores_gemma":[0.00002555959,0.0001268223,0.0006820505,0.004140181,0.0001261489,0.001385799,0.00005896109,0.0001023768,0.0005833429,0.001597687,0.9911544,0.00001653585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001670882,0.9984659,0.00009443083,0.0003441828,0.0001633644,0.000004569942,0.00001748945,0.000007880963,0.0007351792],"genre_scores_gemma":[0.0007250938,0.9984353,0.0001430988,0.0001959851,0.0001052752,0.000004871516,0.0000261048,0.000001374543,0.0003628386],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00323824,"threshold_uncertainty_score":0.01083297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09405601547974857,"score_gpt":0.4128315723201971,"score_spread":0.3187755568404486,"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."}}