{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002012957,0.0007272616,0.0007251253,0.002784963,0.0003112036,0.001422336,0.0008175743,0.001479472,0.006329509],"category_scores_gemma":[0.005254027,0.0003220945,0.0003844885,0.001201069,0.0007792179,0.0009302536,0.0005391352,0.001312586,0.003080561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006922348,"about_ca_system_score_gemma":0.0009781249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046285,"about_ca_topic_score_gemma":0.00115531,"domain_scores_codex":[0.9986411,0.0004568592,0.00007817967,0.0002543052,0.0004884868,0.00008107496],"domain_scores_gemma":[0.9968717,0.001465071,0.0004219558,0.0002109568,0.0008115796,0.0002188196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001261667,0.0002790758,0.04312957,0.004200675,0.000173966,0.001103826,0.0002521242,0.001124236,0.165508,0.006245825,0.03271128,0.7440097],"study_design_scores_gemma":[0.0002715468,0.002004169,0.04398166,0.003131187,0.0008838879,0.02066561,0.0005629457,0.0150218,0.4878117,0.01950884,0.4059471,0.0002093626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1056803,0.5881124,0.2343376,0.02172301,0.005712854,0.001017159,0.006195239,0.003802276,0.0334192],"genre_scores_gemma":[0.58447,0.1325597,0.2495852,0.00830797,0.002732575,0.0007713667,0.003699195,0.0003700868,0.01750389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006329509,"threshold_uncertainty_score":0.02117431,"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."}}