{"id":"W2780727948","doi":"10.1158/1078-0432.ccr-17-2994","title":"Genomics-Driven Precision Medicine for Advanced Pancreatic Cancer: Early Results from the COMPASS Trial","year":2017,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":636,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Ontario Institute for Cancer Research; University of Toronto; University Health Network; BC Cancer Agency; Princess Margaret Cancer Centre","funders":"Canadian Cancer Society Research Institute; National Cancer Institute; Canadian Friends of Tel Aviv University; Ontario Institute for Cancer Research; Division of Cancer Prevention, National Cancer Institute","keywords":"Pancreatic cancer; Transcriptome; Medicine; Clinical endpoint; Oncology; FOLFIRINOX; Biopsy; Cancer; Precision medicine; Internal medicine; Biology; Pathology; Gene; Clinical trial; Gene expression; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.009345494,0.0002572011,0.001490176,0.0001038686,0.001575148,0.0001227029,0.001518534,0.0003956417,0.0005951469],"category_scores_gemma":[0.02517926,0.0001522707,0.0003027052,0.0001666618,0.002907869,0.0001337772,0.0005185443,0.001717381,0.00009498359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005090208,"about_ca_system_score_gemma":0.002223183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01544387,"about_ca_topic_score_gemma":0.002625958,"domain_scores_codex":[0.9941498,0.0009769722,0.001451324,0.001018816,0.001400565,0.001002496],"domain_scores_gemma":[0.9753895,0.01999957,0.0004898312,0.002333515,0.00117107,0.0006164634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.4804159,0.0005797304,0.2598328,0.00009529071,0.0009000637,0.00005767238,0.001040208,0.000009903395,0.001207898,0.0002404368,0.120811,0.1348091],"study_design_scores_gemma":[0.2097079,0.008330631,0.636948,0.001328687,0.0005641895,0.000002365852,0.0003414022,0.002730445,0.0001707699,0.002975018,0.1366368,0.0002637125],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9203951,0.002081472,0.0001088744,0.06685285,0.00132314,0.005209549,0.0004783419,0.00003625708,0.003514456],"genre_scores_gemma":[0.9663473,0.01340186,0.001041471,0.0006286595,0.008760463,0.002379405,0.0001018433,0.00006590853,0.007273089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3771153,"threshold_uncertainty_score":0.9998056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4546718383273811,"score_gpt":0.6054100502091737,"score_spread":0.1507382118817926,"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."}}