{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008385942,0.0002548831,0.000342607,0.00006629663,0.0004419387,0.00001996385,0.0003156185,0.0001168177,0.00007102352],"category_scores_gemma":[0.0000925382,0.0001796354,0.0001650287,0.0003060589,0.000171824,0.00000453056,0.0002326805,0.0002415388,1.710273e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001239814,"about_ca_system_score_gemma":0.0003972797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004554827,"about_ca_topic_score_gemma":0.0001240718,"domain_scores_codex":[0.9979321,0.0006910525,0.0003025293,0.00047571,0.0002763975,0.0003221994],"domain_scores_gemma":[0.9986788,0.0002018823,0.0002960057,0.0004668854,0.0002671908,0.00008921741],"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":[0.0003255541,0.00002937014,0.001415087,0.00004001291,0.0004026629,0.000006337907,0.0003735123,0.001277792,0.9908112,0.00009407008,0.0004760504,0.004748397],"study_design_scores_gemma":[0.0005361973,0.0002686149,0.0003312546,0.00002363436,0.0003649868,0.00001691948,0.001015356,0.0005487417,0.9655935,0.000146554,0.03082645,0.0003278109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849422,0.002552217,0.01068696,0.0003788306,0.0002529945,0.000438868,0.0001947859,0.00007153989,0.0004816198],"genre_scores_gemma":[0.8780856,0.002820193,0.1165099,0.0006208515,0.000282329,0.0002375539,0.00009821003,0.00008421644,0.001261238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1068566,"threshold_uncertainty_score":0.7325318,"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."}}