{"id":"W4415782916","doi":"10.1101/2025.10.30.25339175","title":"Evaluation of ensilication technology for ambient DNA preservation","year":2025,"lang":"","type":"preprint","venue":"medRxiv","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Princess Margaret Cancer Centre","funders":"Princess Margaret Cancer Foundation; Government of Ontario; Li Ka Shing Foundation","keywords":"DNA; DNA sequencing; Population; Limiting; Precision medicine; Genomics; Nucleic acid; Digital polymerase chain reaction","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":[0.0006210341,0.0003543772,0.0001493103,0.000199617,0.0002347736,0.000453536,0.0002203333,0.0003543181,0.001039228],"category_scores_gemma":[0.000790273,0.0001210059,0.000232853,0.0001782069,0.0003118077,0.0003586937,0.0003661427,0.0003322094,0.0003038916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002475209,"about_ca_system_score_gemma":0.0001798477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004341106,"about_ca_topic_score_gemma":0.0005283502,"domain_scores_codex":[0.999728,0.00005082683,0.00001739684,0.00006973025,0.00009503873,0.00003902175],"domain_scores_gemma":[0.9995874,0.0001456209,0.00007528948,0.00004683773,0.0001160151,0.00002879461],"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":[0.00008590677,0.00001501504,0.0002338616,0.00008046823,0.00001053939,0.00004615203,0.00004785492,0.0005510824,0.9953879,0.0001480222,0.00009046002,0.003302728],"study_design_scores_gemma":[0.000003909769,0.0001515622,0.0006024054,0.000006297702,0.00001015459,0.00004591516,0.00001649555,0.0005964615,0.9959826,0.00003376218,0.002543991,0.000006365919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688474,0.002231252,0.02506277,0.0001679267,0.0001140521,0.0001228291,0.0005313852,0.0003435048,0.002578798],"genre_scores_gemma":[0.982864,0.001034269,0.01249141,0.00008764034,0.00001932754,0.00008176874,0.0004541828,0.0001276387,0.002839651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001039228,"threshold_uncertainty_score":0.00347662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03309726239006188,"score_gpt":0.3195756637834881,"score_spread":0.2864784013934262,"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."}}