{"id":"W2343983545","doi":"10.1038/srep25186","title":"Digital PCR methods improve detection sensitivity and measurement precision of low abundance mtDNA deletions","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre","funders":"National Institute of General Medical Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; Fundação para a Ciência e a Tecnologia; National Institutes of Health","keywords":"Mitochondrial DNA; Biology; Digital polymerase chain reaction; Genetics; Mitochondrial disease; Polymerase chain reaction; Breakpoint; Molecular biology; Computational biology; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001603278,0.00008951731,0.0001130538,0.00005339315,0.0001108427,0.00004406271,0.00002916501,0.00009222643,0.00001235882],"category_scores_gemma":[0.0009074317,0.000062586,0.00006591287,0.00008817272,0.0002010581,0.00001199102,0.00006582797,0.00003194449,0.000002705412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001634324,"about_ca_system_score_gemma":0.00006037857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000265984,"about_ca_topic_score_gemma":0.00004609571,"domain_scores_codex":[0.9987688,0.0001136247,0.0002655465,0.0005196155,0.0002001173,0.0001322879],"domain_scores_gemma":[0.9989763,0.0000218928,0.0001840228,0.0004433887,0.0003070303,0.00006731298],"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":[0.00002473653,0.00002364603,0.0004396344,0.000007111552,0.000008023519,0.000004362416,0.000009970099,0.000001797616,0.8667005,0.000003325044,0.0002856226,0.1324913],"study_design_scores_gemma":[0.0001237781,0.00009833049,0.0009237239,0.00001911447,0.000007444596,0.0001125621,0.000008236866,0.00001852941,0.9655022,0.0003759609,0.03272784,0.00008228928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5773476,0.0001189643,0.4173516,0.00004301219,0.00447102,0.0001802816,0.000008543129,0.00001125032,0.0004676906],"genre_scores_gemma":[0.9958119,0.000009174824,0.002244315,0.0000095692,0.00009168652,0.000009541792,0.00001056659,0.000007241201,0.001806002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4184643,"threshold_uncertainty_score":0.2552183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629658376457379,"score_gpt":0.2674486867311704,"score_spread":0.2511521029665966,"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."}}