{"id":"W2884978946","doi":"10.1038/s41598-018-29334-5","title":"Evaluation of Oxford Nanopore’s MinION Sequencing Device for Microbial Whole Genome Sequencing Applications","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":295,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Minion; Nanopore sequencing; Metagenomics; DNA sequencing; Computational biology; Context (archaeology); Barcode; Whole genome sequencing; Biology; Deep sequencing; Sequence assembly; Genome; Contig; Computer science; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002190593,0.000107781,0.0001226164,0.00005944046,0.0003082551,0.00004010498,0.0001145616,0.00007331273,0.00001338876],"category_scores_gemma":[0.0001284373,0.0001077655,0.00008421548,0.0001471976,0.0002328061,0.000001976817,0.00008085589,0.00002236181,0.000002842128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007747948,"about_ca_system_score_gemma":0.0003943403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001170416,"about_ca_topic_score_gemma":0.0001020055,"domain_scores_codex":[0.9985604,0.00003663444,0.0003819068,0.0005463008,0.0002693225,0.00020544],"domain_scores_gemma":[0.9978195,0.000007259775,0.0003066018,0.0005579122,0.001263648,0.00004511747],"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":[0.000003793165,0.00001275109,0.0002116742,0.00001866833,0.00003555563,2.955839e-7,0.0002276273,0.0001516007,0.9961754,0.000007696392,0.000822977,0.002331931],"study_design_scores_gemma":[0.0001766749,0.00009610704,0.0002437805,0.00001079529,0.00009794402,0.00003350924,0.0002172345,0.0004483313,0.7753766,0.001547662,0.2216011,0.0001502177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937894,0.0009651276,0.002120532,0.00003667319,0.001228609,0.0007977593,0.00003345743,0.000003947685,0.001024532],"genre_scores_gemma":[0.9947647,0.00001141416,0.004016364,0.00002699552,0.0003329287,0.000150457,0.0002119495,0.00001442303,0.0004706927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2207988,"threshold_uncertainty_score":0.439455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0420604332472393,"score_gpt":0.2946012167536557,"score_spread":0.2525407835064164,"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."}}