{"id":"W4410894446","doi":"10.1099/acmi.0.001059.v1","title":"Sequenoscope: A Modular Tool for Nanopore Adaptive Sequencing Analytics and Beyond","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Public Health Agency of Canada","funders":"Public Health Agency of Canada","keywords":"Modular design; Analytics; Nanopore sequencing; Nanopore; Computer science; Computational biology; Data science; Nanotechnology; DNA sequencing; Biology; Materials science; Programming language; Gene; Genetics","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":[0.002736777,0.002313793,0.001485463,0.001603955,0.0008392084,0.002319175,0.002574463,0.001346709,0.02280862],"category_scores_gemma":[0.004324372,0.001928486,0.00167702,0.0009242557,0.0005653118,0.002282534,0.002416593,0.002778474,0.01613799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007188075,"about_ca_system_score_gemma":0.001874313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002205514,"about_ca_topic_score_gemma":0.003066825,"domain_scores_codex":[0.9985537,0.0001784421,0.0001687596,0.0004546196,0.0005180899,0.0001264144],"domain_scores_gemma":[0.9985901,0.0006119491,0.0001610191,0.0002580775,0.0002422422,0.0001365383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003640021,0.0004202935,0.009040913,0.004210908,0.001484783,0.001829262,0.002040306,0.01008403,0.2762823,0.01747644,0.3875721,0.2859187],"study_design_scores_gemma":[0.0007130837,0.0004928959,0.009605994,0.0006791863,0.0002984926,0.001632389,0.0003130364,0.1313406,0.2761234,0.03083052,0.5472314,0.0007389124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.006323435,0.0006681419,0.4750406,0.000327723,0.0002194059,0.0003679415,0.02190009,0.4915943,0.003558457],"genre_scores_gemma":[0.04646185,0.0008532874,0.7938541,0.001239269,0.0001274677,0.002213493,0.06092349,0.08235366,0.01197336],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.02280862,"threshold_uncertainty_score":0.07630241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547530995038111,"score_gpt":0.2409284812005519,"score_spread":0.2154531712501708,"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."}}