{"id":"W4220741343","doi":"10.1002/smtd.202101467","title":"Cancer Stem Cell DNA Enabled Real‐Time Genotyping with Self‐Functionalized Quantum Superstructures—Overcoming the Barriers of Noninvasive cfDNA Cancer Diagnostics","year":2022,"lang":"en","type":"article","venue":"Small Methods","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Liquid biopsy; Cancer; Personalized medicine; Computational biology; DNA; Medicine; Oncology; Cancer research; Bioinformatics; Internal medicine; Biology; Genetics","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":[0.0003489554,0.0002387788,0.0002014134,0.0002198894,0.0001185501,0.0004048811,0.0004365489,0.0006470211,0.000732056],"category_scores_gemma":[0.0005177749,0.0002111627,0.0001653444,0.0001597554,0.0003814053,0.0003695968,0.0003006444,0.0003891369,0.0003527739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004440029,"about_ca_system_score_gemma":0.0002464612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009875105,"about_ca_topic_score_gemma":0.001475812,"domain_scores_codex":[0.9997264,0.00005300227,0.00001044718,0.00007611146,0.0001036017,0.00003044332],"domain_scores_gemma":[0.9996538,0.0001042336,0.00006586929,0.00004605892,0.0001017695,0.00002825561],"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":[0.00002156139,0.00001027917,0.0001730823,0.00002017208,0.000004673689,0.0000220645,0.00002525151,0.0003098928,0.9955398,0.0004146619,0.0001223912,0.00333618],"study_design_scores_gemma":[0.00000395449,0.00005337523,0.0004164607,0.000002089428,0.000006164747,0.00004017084,0.00001414825,0.008171034,0.9898313,0.0001268811,0.001325519,0.00000894995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8912843,0.0008773665,0.1030898,0.0003771044,0.0001142969,0.00008336578,0.0004222801,0.0008033013,0.002948221],"genre_scores_gemma":[0.9460236,0.0002678183,0.05077429,0.0001231291,0.00001447467,0.0000633388,0.0001909311,0.00004645523,0.002496012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009875105,"threshold_uncertainty_score":0.003221512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315887410454216,"score_gpt":0.2933719454925605,"score_spread":0.2802130713880183,"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."}}