{"id":"W4377969156","doi":"10.1016/j.ctrv.2023.102583","title":"Clinical trial designs for evaluating and exploiting cancer evolution","year":2023,"lang":"en","type":"review","venue":"Cancer Treatment Reviews","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Cancer Research","funders":"Imperial Experimental Cancer Medicine Centre; National Institute for Health and Care Research; Cancer Research UK","keywords":"Medicine; Clinical trial; Somatic evolution in cancer; Clinical study design; Intensive care medicine; Cancer; Bioinformatics; Internal medicine; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009281574,0.0005245479,0.001938,0.00005695154,0.0001478143,0.00005258847,0.0001666577,0.0003686086,0.00001607982],"category_scores_gemma":[0.000428176,0.000394991,0.001004939,0.0001276171,0.0000599792,0.000003358689,0.00009815337,0.0001064437,0.00001473833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000446189,"about_ca_system_score_gemma":0.001171785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001470394,"about_ca_topic_score_gemma":0.0003110899,"domain_scores_codex":[0.9970525,0.0002981266,0.001267201,0.0009208603,0.00009482499,0.000366501],"domain_scores_gemma":[0.9981485,0.0002988285,0.0008526745,0.0004765858,0.00007687595,0.0001465154],"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":[0.0002813632,0.0000505095,0.00001806917,0.004166423,0.0003645732,7.568023e-7,0.000007970672,0.000003137769,0.000008727766,0.00001631893,0.002733699,0.9923484],"study_design_scores_gemma":[0.006403607,0.001387994,0.000001547508,0.006420887,0.002842093,0.000002151504,0.000005588711,0.00001709801,0.000006329642,0.00002274345,0.9825021,0.0003878331],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001359356,0.99103,0.0004713363,0.00001859916,0.001361552,0.006413287,0.0005131814,0.00001729568,0.00003883825],"genre_scores_gemma":[0.000002540465,0.9751104,0.0008063369,0.00005285048,0.003755635,0.01881078,0.0005813687,0.0001080004,0.0007721295],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9919606,"threshold_uncertainty_score":0.9998502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5524420529314084,"score_gpt":0.5605969373199633,"score_spread":0.00815488438855494,"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."}}