{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01932698,0.00137888,0.003890284,0.001645927,0.0002415532,0.002546324,0.002006713,0.00291826,0.008135275],"category_scores_gemma":[0.02429604,0.0004557916,0.001567725,0.001571483,0.001173633,0.00158523,0.001165289,0.004479039,0.001398933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782506,"about_ca_system_score_gemma":0.003397997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009931717,"about_ca_topic_score_gemma":0.00195765,"domain_scores_codex":[0.9956677,0.0029346,0.0002862783,0.0003527952,0.0006223159,0.0001363233],"domain_scores_gemma":[0.9748355,0.02207204,0.001159046,0.0004771057,0.001031057,0.0004252151],"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":[0.001208083,0.0002455116,0.0004544943,0.01701553,0.0008086374,0.0001182173,0.00004370072,0.001763819,0.00124104,0.01963984,0.03135709,0.9261041],"study_design_scores_gemma":[0.006069025,0.003884719,0.003097973,0.03334049,0.004121017,0.001008355,0.0001431705,0.002380156,0.002195842,0.07692874,0.866694,0.0001364703],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003896761,0.9859222,0.005244324,0.003783457,0.001261961,0.0003319258,0.0002464889,0.00005461415,0.002765323],"genre_scores_gemma":[0.0106708,0.9572893,0.0162259,0.009041805,0.002588519,0.001602089,0.0005902771,0.00003725553,0.001954087],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01932698,"threshold_uncertainty_score":0.1022121,"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."}}