{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007212337,0.00006383607,0.00009554313,0.00003253772,0.0001293885,0.000007275095,0.00007194962,0.0000582701,0.000004466575],"category_scores_gemma":[0.0001477584,0.00003828824,0.00007391744,0.00009534792,0.0003432225,0.000003628404,0.00007115254,0.00001819666,2.076658e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001194577,"about_ca_system_score_gemma":0.00007363599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001084439,"about_ca_topic_score_gemma":0.00004051366,"domain_scores_codex":[0.9991534,0.00005677437,0.0002993847,0.000305865,0.00009338193,0.00009121026],"domain_scores_gemma":[0.9990028,0.00002760759,0.0003793478,0.0003850551,0.0001846184,0.00002059628],"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":[0.000002323498,0.00001452595,0.006186878,0.00001361407,0.00001315278,1.709342e-7,0.0001664673,0.000003240671,0.9857865,0.006510506,0.0006110686,0.0006915322],"study_design_scores_gemma":[0.000143924,0.0002000095,0.006534642,0.00009578274,0.00002923623,0.00002059007,0.0005133432,0.0001560858,0.9623153,0.02054206,0.009323052,0.0001259961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9284697,0.00009742913,0.07030148,0.0001619786,0.0002773983,0.0003777326,0.00003299885,0.000003676114,0.000277601],"genre_scores_gemma":[0.9643921,0.00001152534,0.035171,0.000009320888,0.00001050062,0.00005766074,0.00005230654,0.000005280314,0.0002903477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03592235,"threshold_uncertainty_score":0.1561349,"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."}}