{"id":"W4416003940","doi":"10.1016/j.cell.2025.10.020","title":"Longitudinal ultrasensitive ctDNA monitoring for high-resolution lung cancer risk prediction","year":2025,"lang":"en","type":"article","venue":"Cell","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stoneygate Trust; European Research Council; Medical Research Council; Imperial Experimental Cancer Medicine Centre; University College London Hospitals NHS Foundation Trust; Breast Cancer Research Foundation; Broad Institute; European Commission; Rosetrees Trust; University College London; Canadian Institutes of Health Research; Royal Society; UCLH Biomedical Research Centre; Japan Society for the Promotion of Science; Horizon 2020 Framework Programme; Cancer Research UK; Novo Nordisk Foundation Center for Basic Metabolic Research; National Institute for Health and Care Research; Mark Foundation For Cancer Research; Wellcome Trust; Francis Crick Institute","keywords":"Circulating tumor DNA; Lung cancer; Risk stratification; Adjuvant; Stage (stratigraphy); Adjuvant therapy; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006567995,0.00008670392,0.00007527641,0.00002719986,0.0001100129,0.00001740378,0.00005103302,0.00008984414,0.000003248454],"category_scores_gemma":[0.0000528155,0.00009480686,0.00005244548,0.00004753655,0.00002306664,0.000001904634,0.00003127044,0.00005194415,9.152456e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006247112,"about_ca_system_score_gemma":0.00008439214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002881358,"about_ca_topic_score_gemma":0.00005583897,"domain_scores_codex":[0.9994504,0.00001215113,0.0001106688,0.0002357238,0.0000398359,0.0001512606],"domain_scores_gemma":[0.9996493,0.00003113482,0.0000539054,0.0001381341,0.000094836,0.00003263599],"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":[0.0003548291,0.0001065116,0.3193022,0.0001325365,0.0001666802,0.000001753009,0.00005269918,0.01094113,0.6329137,0.00014617,0.03192707,0.003954686],"study_design_scores_gemma":[0.0008423923,0.0001016833,0.06166878,0.00003540505,0.000141008,4.505506e-7,0.00003967371,0.002077398,0.9279945,0.000105253,0.006870545,0.000122863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633907,0.003394987,0.03047031,0.00006014969,0.001360083,0.0002578163,0.0005319513,0.00001121373,0.0005227867],"genre_scores_gemma":[0.9955842,0.0022118,0.0005577214,0.00003724884,0.0007791148,0.00007744151,0.000158818,0.00001061036,0.0005830554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2950808,"threshold_uncertainty_score":0.3866112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006466345822481961,"score_gpt":0.251735298709124,"score_spread":0.2452689528866421,"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."}}