{"id":"W3016078063","doi":"10.1158/1055-9965.epi-20-0074","title":"Pitfalls in Cancer Biomarker Discovery and Validation with Emphasis on Circulating Tumor DNA","year":2020,"lang":"en","type":"review","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Biomarker discovery; Biomarker; Circulating tumor DNA; Cancer; Computational biology; Precision medicine; Medicine; Bioinformatics; Biology; Oncology; Internal medicine; Proteomics; Pathology; Genetics; Gene","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007377015,0.000982554,0.00230255,0.002968017,0.0004519136,0.00222846,0.001666835,0.002485685,0.001989942],"category_scores_gemma":[0.007212533,0.0005248349,0.001063586,0.002615198,0.002129851,0.003178263,0.00138084,0.004285696,0.002112994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602242,"about_ca_system_score_gemma":0.002979848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001668305,"about_ca_topic_score_gemma":0.002234327,"domain_scores_codex":[0.9971712,0.0009441408,0.0003540509,0.0004392803,0.0009936511,0.00009774066],"domain_scores_gemma":[0.9910358,0.006776056,0.000468337,0.0002099738,0.001355541,0.000154229],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006877609,0.00003866538,0.0003540786,0.02107414,0.0001677451,0.0002844737,0.0001431048,0.0006520787,0.001656489,0.01838729,0.02401263,0.9331605],"study_design_scores_gemma":[0.00001375961,0.0001164298,0.0006462621,0.007575055,0.0001545725,0.001809802,0.0001436753,0.0002225326,0.001243303,0.01370796,0.9743173,0.00004936507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007534176,0.9963647,0.0007620556,0.001624809,0.0004166138,0.000006337746,0.00001760208,0.0000100083,0.0007226718],"genre_scores_gemma":[0.001016423,0.9951825,0.001239348,0.001319906,0.0005803267,0.00001886708,0.00003646342,0.00000543384,0.0006007251],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.992623,"threshold_uncertainty_score":0.03901386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07748660629142981,"score_gpt":0.3874288165940414,"score_spread":0.3099422103026116,"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."}}