{"id":"W3120817351","doi":"10.1038/s41592-020-01041-y","title":"High-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing","year":2021,"lang":"en","type":"article","venue":"Nature Methods","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":457,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Villum Fonden","keywords":"Nanopore sequencing; Amplicon; Nanopore; Computational biology; Identifier; Minion; Biology; Amplicon sequencing; Computer science; DNA sequencing; Genetics; Nanotechnology; Gene; Polymerase chain reaction; Materials science","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":[0.002527301,0.001879575,0.001923883,0.001513986,0.001462543,0.001611102,0.001583454,0.001974711,0.00572029],"category_scores_gemma":[0.005482185,0.001634929,0.001726558,0.001115873,0.0007119936,0.001829569,0.001372797,0.002840277,0.008786602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007755384,"about_ca_system_score_gemma":0.002113433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001571275,"about_ca_topic_score_gemma":0.009455399,"domain_scores_codex":[0.9964195,0.0005728769,0.000335227,0.001366804,0.0009343695,0.0003712067],"domain_scores_gemma":[0.9968259,0.000753989,0.000314591,0.0008200568,0.001056663,0.0002288997],"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":[0.0002317045,0.0001192622,0.001030871,0.000299333,0.00008927118,0.00009150819,0.000140475,0.0005617324,0.9701124,0.001453041,0.003099168,0.02277118],"study_design_scores_gemma":[0.00005862124,0.0002182093,0.004256369,0.00007671418,0.0001865144,0.0003047043,0.00007168027,0.01391675,0.9429891,0.002644356,0.0351649,0.0001121515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07123773,0.001136963,0.8849427,0.0004984906,0.0005977808,0.0009004266,0.01728358,0.01567008,0.007732188],"genre_scores_gemma":[0.04971058,0.0004121629,0.9153444,0.0007535016,0.00008336228,0.0008273347,0.02340414,0.001936581,0.007527879],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00572029,"threshold_uncertainty_score":0.01913625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747945472497103,"score_gpt":0.3614554404195368,"score_spread":0.3339759856945658,"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."}}