{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01814085,0.0008094215,0.0007237976,0.002845191,0.001329963,0.003876041,0.001767578,0.0009643505,0.008559427],"category_scores_gemma":[0.08763133,0.0004679345,0.0009762434,0.002010431,0.0007083241,0.002933947,0.003445787,0.001925948,0.001619058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002064294,"about_ca_system_score_gemma":0.007297975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002774999,"about_ca_topic_score_gemma":0.004961725,"domain_scores_codex":[0.9814274,0.01196694,0.002350215,0.002006581,0.001711164,0.0005377542],"domain_scores_gemma":[0.9166018,0.06011384,0.01126132,0.00388918,0.004459647,0.003674242],"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":[0.001810927,0.0008893881,0.2355638,0.001333194,0.0004489878,0.001957828,0.002437794,0.03594805,0.001912106,0.009712266,0.06810954,0.6398761],"study_design_scores_gemma":[0.002178475,0.001911036,0.06524657,0.003882566,0.001007423,0.004572315,0.005680786,0.4399067,0.01738736,0.1174377,0.3403098,0.0004792645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.3854281,0.01101433,0.3953327,0.1191261,0.0009577822,0.005308704,0.01312611,0.01326034,0.0564457],"genre_scores_gemma":[0.7463818,0.001875529,0.2377677,0.006306562,0.0005608683,0.0008734898,0.004327585,0.000378524,0.001527927],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01814085,"threshold_uncertainty_score":0.09593916,"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."}}