{"id":"W4401040770","doi":"10.17615/dg4r-3n36","title":"Genomics-Driven Precision Medicine for Advanced Pancreatic Cancer: Early Results from the COMPASS Trial","year":2024,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Canadian Cancer Society Research Institute; Hebrew University of Jerusalem; Government of Ontario","keywords":"Compass; Precision medicine; Pancreatic cancer; Medicine; Cancer; Genomics; Computational biology; Medical physics; Internal medicine; Oncology; Biology; Cartography; Pathology; Geography; Genetics; Genome; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0001182726,0.0001611114,0.0002037719,0.0000225606,0.0001273453,0.000149554,0.0002823568,0.000102645,0.00002498135],"category_scores_gemma":[0.0003896455,0.000108695,0.00009441978,0.00007459214,0.0001499126,0.00001151799,0.0001242911,0.00008123169,0.000005525753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002582124,"about_ca_system_score_gemma":0.0002737277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003812528,"about_ca_topic_score_gemma":0.0002062581,"domain_scores_codex":[0.9989662,0.00003151777,0.0003064076,0.0003965208,0.0001047675,0.0001945451],"domain_scores_gemma":[0.9987096,0.0007202047,0.00007405747,0.0003888887,0.00004476337,0.00006245077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.09844125,0.0001140902,0.0006727136,0.0001027928,0.0009538666,0.00001289904,0.004695401,0.002193974,0.1962935,0.05398997,0.5777751,0.0647544],"study_design_scores_gemma":[0.01867492,0.001238191,0.0006073947,0.0001844907,0.0001704741,0.000001002388,0.0002049875,0.001001185,0.03654698,0.02892761,0.9121503,0.0002924478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490333,0.02905554,0.005100499,0.008884791,0.003088722,0.001290723,0.002623654,0.00005430682,0.0008684411],"genre_scores_gemma":[0.9779794,0.002573382,0.007187299,0.001224929,0.007000977,0.0003536376,0.001987725,0.00007982545,0.001612795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3343752,"threshold_uncertainty_score":0.4432453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983972766753048,"score_gpt":0.2680449683314319,"score_spread":0.2482052406639015,"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."}}