{"id":"W2886760468","doi":"10.1373/jalm.2018.026393","title":"Circulating Tumor DNA for Early Cancer Detection","year":2018,"lang":"en","type":"article","venue":"The Journal of Applied Laboratory Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Liquid biopsy; Cancer; Medicine; Circulating tumor cell; Circulating tumor DNA; Population; Oncology; Stage (stratigraphy); Internal medicine; Biology; Metastasis","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":[0.0005762918,0.00008403313,0.0001358697,0.0000315213,0.0001033036,0.000006022508,0.0001391087,0.00004145156,0.00001795747],"category_scores_gemma":[0.0001255214,0.00005468313,0.00002829456,0.00009992628,0.0001482712,0.000002035755,0.00002109895,0.00007959009,0.000001188908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000258099,"about_ca_system_score_gemma":0.0001471677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001558124,"about_ca_topic_score_gemma":0.00005789574,"domain_scores_codex":[0.9994172,0.00001561558,0.0002486284,0.00007929408,0.0001146414,0.0001246639],"domain_scores_gemma":[0.9990497,0.00005009286,0.0002909756,0.0001467866,0.0004004662,0.0000619756],"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":[0.0004852569,0.000009008633,0.00008294596,0.00001007481,0.00005158028,9.542562e-7,0.000275208,0.00005105674,0.9934892,0.00007138844,0.002670091,0.002803233],"study_design_scores_gemma":[0.001913017,0.001579809,0.002225087,0.00005131516,0.0001895456,0.0000270349,0.0005122672,0.00006328071,0.9048966,0.0004726154,0.08793107,0.0001383441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943207,0.0009449312,0.003334132,0.0002659261,0.0005672961,0.0001434913,0.00001315881,0.00000252421,0.0004078316],"genre_scores_gemma":[0.9937863,0.0001678055,0.0001348227,0.001131257,0.004740755,0.000008630507,0.000001645394,0.00001712038,0.00001166136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08859259,"threshold_uncertainty_score":0.2229913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009571073522063387,"score_gpt":0.2619330262978936,"score_spread":0.2523619527758302,"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."}}