{"id":"W4285491831","doi":"10.1200/jco.21.02514","title":"Moving the Needle on Precision Medicine in Pancreatic Cancer","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; Princess Margaret Cancer Centre","funders":"","keywords":"KRAS; Pancreatic cancer; Medicine; Precision medicine; Pancreatic ductal adenocarcinoma; Germline; Personalized medicine; Germline mutation; Homologous recombination; Cancer; Bioinformatics; Cancer research; Mutation; Internal medicine; Genetics; Biology; Gene; Pathology; Colorectal cancer","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":[0.0247459,0.001166887,0.002701223,0.003391756,0.001897272,0.007789133,0.002606721,0.01170869,0.01479051],"category_scores_gemma":[0.03329697,0.0005374664,0.002187269,0.001630296,0.01234849,0.01986526,0.00541838,0.02401786,0.006581477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004259664,"about_ca_system_score_gemma":0.007199494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00221811,"about_ca_topic_score_gemma":0.003742468,"domain_scores_codex":[0.9910662,0.003627809,0.0007118682,0.001107678,0.002730195,0.0007563012],"domain_scores_gemma":[0.9512246,0.03364939,0.001419361,0.002820604,0.007036628,0.003849482],"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":[0.0005331649,0.0002706054,0.001114051,0.003614602,0.0002147062,0.0005193978,0.000590461,0.00156868,0.001575955,0.1991008,0.3354578,0.4554398],"study_design_scores_gemma":[0.0001190084,0.0004630887,0.0009082131,0.004761588,0.0000916561,0.0007379817,0.0007830956,0.000838972,0.0006273523,0.2166591,0.7738842,0.0001257229],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0009004287,0.46973,0.01150877,0.48885,0.01921455,0.00004309118,0.0001852989,0.0003044045,0.009263431],"genre_scores_gemma":[0.03383084,0.6175185,0.02725257,0.2518783,0.06020711,0.000169213,0.000334097,0.0003065107,0.008502924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0247459,"threshold_uncertainty_score":0.1308704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2108715449826536,"score_gpt":0.5439291058351822,"score_spread":0.3330575608525286,"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."}}