{"id":"W2949819089","doi":"10.1186/s12864-018-4611-3","title":"A Sequel to Sanger: amplicon sequencing that scales","year":2018,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":295,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canada First Research Excellence Fund; Ontario Ministry of Research, Innovation and Science","keywords":"Sanger sequencing; Amplicon; Biology; Computational biology; DNA sequencer; DNA sequencing; Genetics; Amplicon sequencing; Ion semiconductor sequencing; Massive parallel sequencing; Mitochondrial DNA; Polymerase chain reaction; Gene","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":[0.0001056757,0.0001300789,0.0001003958,0.00002963343,0.0001108288,0.00002278643,0.000218886,0.0001611358,0.00001767833],"category_scores_gemma":[0.00002899118,0.0001332323,0.00007314718,0.00007183075,0.00009507813,0.000001279403,0.0002022167,0.00004982788,0.0001197102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004336673,"about_ca_system_score_gemma":0.0001211146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001808376,"about_ca_topic_score_gemma":0.0003649244,"domain_scores_codex":[0.9991671,0.00003000529,0.0001292619,0.0003907211,0.00004812392,0.0002348275],"domain_scores_gemma":[0.9992266,0.000005348701,0.00004728498,0.0005372604,0.00008278507,0.0001007594],"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":[0.000017677,0.00001061998,0.001869271,0.000004597776,0.00001146887,7.528616e-7,0.00002573832,0.000007496285,0.9920436,0.0006859953,0.003952258,0.001370576],"study_design_scores_gemma":[0.00008892664,0.000110476,0.000916454,0.000003341917,0.000007406974,0.00002841155,0.00003726957,0.00002699385,0.7948742,0.0005637963,0.2031816,0.0001611438],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8668735,0.0001663286,0.1289756,0.0001894937,0.00006130791,0.0002468486,0.00004089257,0.00004075126,0.003405311],"genre_scores_gemma":[0.9316753,0.00006112306,0.06499621,0.002009971,0.0003588218,0.00007522526,0.0001141483,0.00002960865,0.0006796573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1992293,"threshold_uncertainty_score":0.5433057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03402932936420695,"score_gpt":0.28763935900217,"score_spread":0.253610029637963,"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."}}