{"id":"W2757229824","doi":"10.1101/191619","title":"A Sequel to Sanger: Amplicon Sequencing That Scales","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Research and Innovation; Canada First Research Excellence Fund","keywords":"Amplicon; Sanger sequencing; Biology; Computational biology; DNA sequencing; Amplicon sequencing; Genetics; Mitochondrial DNA; DNA sequencer; Gene; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004355496,0.0005852925,0.0004659886,0.0001427735,0.0003393821,0.0002299238,0.001205197,0.001018328,0.00001373126],"category_scores_gemma":[0.0001671022,0.0006312109,0.0002528286,0.0001029255,0.0001935976,0.000006763565,0.00140606,0.000489241,0.00005621498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001465506,"about_ca_system_score_gemma":0.0004482098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008464926,"about_ca_topic_score_gemma":0.00001627891,"domain_scores_codex":[0.9973205,0.00009621241,0.0003531745,0.001422211,0.0002115719,0.0005963772],"domain_scores_gemma":[0.9959762,0.00001050179,0.0003887432,0.002979506,0.0003017161,0.0003432948],"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":[0.00001784375,0.00003631327,0.002814388,0.00007802139,0.0001019904,0.00001531401,0.000002200797,0.00001745003,0.9940987,0.0004282854,0.002379362,0.00001012481],"study_design_scores_gemma":[0.0001707044,0.00008589595,0.01193914,0.0001621089,0.00005642356,9.739259e-8,0.000001496735,0.00002487381,0.9227133,0.00001135201,0.06403761,0.0007969583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668492,0.001548529,0.02820905,0.0006987998,0.0004263978,0.001360499,0.0005025288,0.0002840443,0.0001209523],"genre_scores_gemma":[0.9793562,0.0004878047,0.01758115,0.0009816271,0.0005680092,0.0008474977,0.000006263897,0.0001399376,0.00003146845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07138537,"threshold_uncertainty_score":0.9996139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02427079404309369,"score_gpt":0.2650800840826186,"score_spread":0.2408092900395249,"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."}}