{"id":"W4413640193","doi":"10.1109/tcbbio.2025.3602886","title":"Toward an Embedded SoC for Mobile DNA Sequencing Applications","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Biology and Bioinformatics","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Computer science; Computational biology; Embedded system; Biology","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":[0.0002826638,0.0001491045,0.0001877542,0.0002672194,0.000354432,0.00008355809,0.0003409682,0.0001596609,0.000002708387],"category_scores_gemma":[0.000003789978,0.0001373192,0.00006753964,0.0002942272,0.0001026121,0.0003917752,0.000004748651,0.0001308886,0.000008851227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007143876,"about_ca_system_score_gemma":0.0001841245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003687484,"about_ca_topic_score_gemma":0.000002941795,"domain_scores_codex":[0.9990398,0.00005259423,0.000409544,0.0002306192,0.00008195206,0.0001854338],"domain_scores_gemma":[0.9989951,0.0004136703,0.0001052351,0.0002486958,0.000176278,0.00006096878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005416755,0.0003151951,0.00002051237,0.0005681844,0.0002431441,9.222544e-7,0.004015597,0.06127969,0.002586965,0.3746411,0.0007538316,0.5555207],"study_design_scores_gemma":[0.0003813122,0.0003593478,0.000009113792,0.00003691363,0.00001979874,0.00002199158,0.0002893659,0.9144337,0.01017413,0.07304972,0.001016863,0.0002077359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007801793,0.0000369268,0.9971,0.0001890404,0.0002043056,0.0009064498,0.00006499195,0.00034207,0.0003760319],"genre_scores_gemma":[0.4773924,0.00001423682,0.521207,0.0006481335,0.00001790035,0.0006303217,0.00002915452,0.000004491395,0.0000563275],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.853154,"threshold_uncertainty_score":0.5599715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0299185254748693,"score_gpt":0.314450637560644,"score_spread":0.2845321120857747,"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."}}