{"id":"W2409902809","doi":"10.1373/clinchem.2016.260331","title":"Circulating Tumor DNA as a Cancer Biomarker: Fact or Fiction?","year":2016,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University Health Network; University of Toronto","funders":"Guardant Health; National Cancer Institute","keywords":"Biomarker; DNA; Cancer; Circulating tumor DNA; Computational biology; Medicine; Cancer research; Biology; Internal medicine; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.000198393,0.0001713002,0.0002016403,0.000007727705,0.00006933705,0.0000246991,0.0002118313,0.0002130882,0.0007193779],"category_scores_gemma":[0.001483098,0.0001197468,0.00019265,0.00005816595,0.0001453783,0.000002868519,0.0001513863,0.00009407833,0.00003833194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003985586,"about_ca_system_score_gemma":0.0003690827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001754353,"about_ca_topic_score_gemma":0.00001108601,"domain_scores_codex":[0.9986416,0.00002249748,0.0004440646,0.0005124226,0.0001080482,0.000271353],"domain_scores_gemma":[0.9989136,0.0001874998,0.0001610295,0.0004467545,0.00008674456,0.0002043552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003324065,0.0001268098,0.04232109,0.00004341932,0.0001231839,0.00004521297,0.000004519806,0.000003330129,0.9058951,0.00000758253,0.02962848,0.02146892],"study_design_scores_gemma":[0.002049484,0.0001801097,0.007696841,0.0001203745,0.00006092766,0.00009345429,0.00003434408,0.00003542092,0.6322911,0.0001271045,0.3567993,0.0005115353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938899,0.0005116467,0.0001551035,0.0006224434,0.0003635683,0.00009160195,0.0001117107,0.00002410765,0.004229903],"genre_scores_gemma":[0.9931399,0.001051317,0.00009557834,0.0007222947,0.001153632,0.00004002493,0.00003494394,0.00003152372,0.003730736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3271708,"threshold_uncertainty_score":0.7876683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04383586253365438,"score_gpt":0.3687122017340682,"score_spread":0.3248763392004138,"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."}}