{"id":"W4315750714","doi":"10.1200/po.22.00342","title":"Programmatic Precision Oncology Decision Support for Patients With Gastrointestinal Cancer","year":2023,"lang":"en","type":"review","venue":"JCO Precision Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novartis Institutes for BioMedical Research; Genentech; Foundation Medicine; Sierra Oncology; Daiichi Sankyo Europe; Servier; Eisai; Natera; Silverback Therapeutics; Moderna; Pfizer; Incyte; Agios Pharmaceuticals; Mirati Therapeutics; Abbott Laboratories; Clovis Oncology; Pacira Pharmaceuticals; Stryker; Ipsen; Array BioPharma; GlaxoSmithKline; Pacira BioSciences; Jounce Therapeutics; Celgene; Bristol-Myers Squibb; Eli Lilly and Company; Invitae; AstraZeneca; Edwards Lifesciences; Amgen; Dana-Farber Cancer Institute; Revolution Medicines; Exelixis; National Institute of Diabetes and Digestive and Kidney Diseases; Sanofi; Puma Biotechnology; Advanced Accelerator Applications","keywords":"Medicine; Precision medicine; Clinical trial; Pancreatic cancer; Internal medicine; Gastrointestinal cancer; Oncology; Colorectal cancer; Cancer; Personalized medicine; Precision oncology; Targeted therapy; Bioinformatics; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007834021,0.0008164983,0.002238421,0.0003417889,0.0002001084,0.00007882163,0.0008714524,0.001069951,0.0001164998],"category_scores_gemma":[0.00186702,0.0006185278,0.0006639079,0.0003833967,0.0001845069,0.000009233725,0.0007156669,0.000470677,0.0001543224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007514993,"about_ca_system_score_gemma":0.003535801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002442349,"about_ca_topic_score_gemma":0.0004519826,"domain_scores_codex":[0.9953943,0.0002489131,0.0015208,0.001482196,0.0004497045,0.0009040383],"domain_scores_gemma":[0.9945866,0.002125245,0.001237149,0.0009788502,0.0007057094,0.0003663984],"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":[0.001042486,0.0005877574,0.00009525886,0.001471507,0.0001746435,0.00002604177,0.00001727545,0.00003685245,0.000008103711,0.00001791086,0.02961573,0.9669064],"study_design_scores_gemma":[0.002563761,0.01390969,0.00006438206,0.004224661,0.0007295269,0.0001172676,0.00001330111,0.00003227193,0.000008160288,0.0001881875,0.977504,0.0006448675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001034376,0.964792,0.01529983,0.0001067004,0.003635134,0.01203102,0.002055653,0.0001394567,0.0009058003],"genre_scores_gemma":[0.00001656038,0.9546064,0.03586373,0.0001340916,0.0009841257,0.00360575,0.003347381,0.0002733174,0.001168606],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9662616,"threshold_uncertainty_score":0.9996266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03985267295635456,"score_gpt":0.3876875231769671,"score_spread":0.3478348502206125,"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."}}