{"id":"W2952134619","doi":"10.1038/srep31602","title":"Benchmarking of the Oxford Nanopore MinION sequencing for quantitative and qualitative assessment of cDNA populations","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre","funders":"Compute Canada; Genome Canada","keywords":"Minion; Nanopore sequencing; Complementary DNA; Biology; cDNA library; Computational biology; Illumina dye sequencing; Population; Genetics; Molecular biology; DNA sequencing; Gene; Medicine","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":[0.007730489,0.001365215,0.001045165,0.001481098,0.0007634843,0.001569095,0.001505065,0.001309648,0.002764258],"category_scores_gemma":[0.008166693,0.0006793467,0.0007724653,0.0009665917,0.0006628064,0.000764465,0.001093048,0.0009939579,0.001632525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007694051,"about_ca_system_score_gemma":0.0007858225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001407333,"about_ca_topic_score_gemma":0.003596355,"domain_scores_codex":[0.9940262,0.001728969,0.000574488,0.001377773,0.001915492,0.0003770568],"domain_scores_gemma":[0.9951122,0.001934931,0.0003008089,0.0006399262,0.001728909,0.0002831849],"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":[0.0002439284,0.00005960144,0.000947429,0.0002421959,0.00003860885,0.00004632933,0.000207524,0.001141388,0.9857734,0.0004810212,0.0004032757,0.01041529],"study_design_scores_gemma":[0.00001708342,0.0003815594,0.005933027,0.00005182015,0.00005810802,0.0002280073,0.0001028564,0.01414622,0.9706962,0.0003671169,0.007959779,0.00005819886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3842846,0.002282621,0.5923973,0.0003134803,0.0003016137,0.001463785,0.007029817,0.00380511,0.008121807],"genre_scores_gemma":[0.1861765,0.001452955,0.7880059,0.000430112,0.00006720631,0.003341987,0.01224471,0.001447725,0.006833019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007730489,"threshold_uncertainty_score":0.04088318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05065138246363911,"score_gpt":0.3894822210968746,"score_spread":0.3388308386332355,"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."}}