{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007729585,0.001682118,0.001857619,0.001820927,0.0009237767,0.002347395,0.001835064,0.001806526,0.02015173],"category_scores_gemma":[0.0152375,0.001902457,0.001556872,0.00117129,0.001147329,0.002344661,0.002585296,0.004152336,0.02055839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004917771,"about_ca_system_score_gemma":0.001220931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005948798,"about_ca_topic_score_gemma":0.001116927,"domain_scores_codex":[0.9935999,0.002220745,0.0005141817,0.0018008,0.001589954,0.0002744529],"domain_scores_gemma":[0.9906666,0.003080174,0.0006268494,0.004232119,0.001086037,0.0003082347],"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":[0.0008351299,0.0003082471,0.002705842,0.001687498,0.0004968086,0.000760994,0.0006832311,0.00348445,0.6389473,0.03122414,0.1019315,0.216935],"study_design_scores_gemma":[0.00009520765,0.0006405606,0.002469184,0.0002461812,0.0002074092,0.001764703,0.0001273078,0.02512217,0.5098603,0.01401636,0.4452264,0.000224236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01203934,0.001490792,0.9318151,0.001308266,0.002483775,0.0005433086,0.003964034,0.03521963,0.01113567],"genre_scores_gemma":[0.02705995,0.001381642,0.9354942,0.00144219,0.0005953219,0.001173474,0.007151252,0.008336822,0.01736504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02015173,"threshold_uncertainty_score":0.06741428,"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."}}