{"id":"W4390970764","doi":"10.1109/biocas58349.2023.10388867","title":"RISC-V Multicore for Miniature DNA Sequencers","year":2023,"lang":"en","type":"article","venue":"","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Multi-core processor; Reduced instruction set computing; DNA sequencer; Instruction set; Parallel computing; DNA sequencing; DNA; Chemistry","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":[0.0003088044,0.0003286165,0.0002394936,0.0002291745,0.0003217625,0.00052151,0.001324192,0.0004207418,0.005147146],"category_scores_gemma":[0.0008167856,0.0002654203,0.0001981188,0.0003209889,0.0002773743,0.0006461343,0.0003801457,0.0007043435,0.001335328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005820079,"about_ca_system_score_gemma":0.0005680451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008332485,"about_ca_topic_score_gemma":0.002251941,"domain_scores_codex":[0.9997093,0.00004187998,0.00001716294,0.00006321801,0.0001224813,0.00004592269],"domain_scores_gemma":[0.9994656,0.0001230644,0.00006537057,0.0001529683,0.0001392632,0.00005363096],"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":[0.0009168481,0.000308988,0.004188537,0.0008677001,0.0001074952,0.0004661432,0.0003557773,0.01682534,0.7421448,0.04346434,0.03821416,0.1521399],"study_design_scores_gemma":[0.0002263433,0.004318674,0.01042451,0.0001667972,0.000122207,0.00143924,0.0001637187,0.1663634,0.5751855,0.006960488,0.2344774,0.0001516954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4704734,0.004403982,0.4409611,0.001254358,0.0009783023,0.0008354727,0.001386038,0.02158417,0.05812334],"genre_scores_gemma":[0.6333904,0.000553043,0.345448,0.0005763733,0.00006746425,0.0003700407,0.00104717,0.0004350429,0.01811242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005147146,"threshold_uncertainty_score":0.01721895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098224940081474,"score_gpt":0.2708008874748268,"score_spread":0.249818638074012,"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."}}