{"id":"W4206653036","doi":"10.3390/cancers14020288","title":"Recent Advances in Device Engineering and Computational Analysis for Characterization of Cell-Released Cancer Biomarkers","year":2022,"lang":"en","type":"review","venue":"Cancers","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Liquid biopsy; Circulating tumor cell; Cancer; Cancer biomarkers; Computational biology; Cancer therapy; Cell-free fetal DNA; Biomarker; Cancer cell; Extracellular vesicles; Medicine; Bioinformatics; Biology; Metastasis; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001220746,0.001182719,0.00157752,0.001652695,0.0002189014,0.001240727,0.001339366,0.001555202,0.002226443],"category_scores_gemma":[0.001956327,0.0006133558,0.001240472,0.001758969,0.0006610469,0.001459707,0.0008941291,0.001832009,0.001315915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007831466,"about_ca_system_score_gemma":0.001064633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009325,"about_ca_topic_score_gemma":0.0006781694,"domain_scores_codex":[0.9994584,0.0001187762,0.00004432257,0.0001197162,0.0002266358,0.00003220135],"domain_scores_gemma":[0.9989819,0.0006384188,0.00006558089,0.00005746668,0.0002280531,0.00002856382],"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":[0.0001245274,0.0001240129,0.0007974791,0.0239615,0.0002965833,0.000370256,0.0001496559,0.02069244,0.02083896,0.05346644,0.02643443,0.8527437],"study_design_scores_gemma":[0.00003891973,0.0002283584,0.00109679,0.002427162,0.0003149068,0.001548697,0.00008957562,0.02550049,0.01657402,0.02948381,0.9225336,0.0001636842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001350696,0.9613283,0.03086285,0.0008463815,0.0005869152,0.0000320699,0.000114293,0.0001238644,0.004754732],"genre_scores_gemma":[0.01013287,0.9699895,0.01635199,0.0004801148,0.0005315709,0.00008427888,0.0002263846,0.00004926498,0.002154049],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002226443,"threshold_uncertainty_score":0.007448196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694698871133828,"score_gpt":0.2874355386016458,"score_spread":0.2704885498903075,"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."}}