{"id":"W2912567570","doi":"10.1109/mwscas.2018.8623915","title":"Hardware Accelerated DNA Sequencing","year":2018,"lang":"en","type":"article","venue":"","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Field-programmable gate array; Computer science; DNA sequencing; Function (biology); Representation (politics); Hardware acceleration; DNA; Computer hardware; Computational biology; Computer architecture; Embedded system; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000288252,0.0004275579,0.0002869881,0.0003044014,0.0002741565,0.0004835213,0.0007011022,0.0003494936,0.01261118],"category_scores_gemma":[0.0005923641,0.0001617931,0.0001603761,0.0003714046,0.000167825,0.0004471038,0.0004215104,0.000570924,0.002399255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005411126,"about_ca_system_score_gemma":0.0006134634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151338,"about_ca_topic_score_gemma":0.002151086,"domain_scores_codex":[0.9997,0.0000338299,0.00001097687,0.00005632612,0.0001511714,0.00004783374],"domain_scores_gemma":[0.9997217,0.00008683528,0.0000313108,0.00005134625,0.00008009183,0.00002869292],"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":[0.001312628,0.000222862,0.003687302,0.001078865,0.00008856913,0.0008009399,0.0002632636,0.02498364,0.5805067,0.0318721,0.03864213,0.316541],"study_design_scores_gemma":[0.0002626673,0.001360371,0.004845215,0.0001461419,0.00005318141,0.001539137,0.0001057251,0.2332546,0.4924964,0.005912287,0.2599176,0.0001066597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2298619,0.004522236,0.6533158,0.001348328,0.001371925,0.000598728,0.002469064,0.0226745,0.08383754],"genre_scores_gemma":[0.5893193,0.001183918,0.3790539,0.0005588911,0.0001061224,0.0003790795,0.001745875,0.0003070819,0.0273458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01261118,"threshold_uncertainty_score":0.04218858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03337386797259272,"score_gpt":0.2288438671925616,"score_spread":0.1954699992199689,"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."}}