{"id":"W4414015718","doi":"10.11159/icbes25.151","title":"NANOSLAST: Nanopore Signal Local Alignment and Segmentation Tool","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanopore; SIGNAL (programming language); Segmentation; Computer science; Artificial intelligence; Computer vision; Materials science; Nanotechnology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001123184,0.001487337,0.001091804,0.001585025,0.0006390891,0.0009880419,0.002100413,0.0009453272,0.02494404],"category_scores_gemma":[0.002103898,0.0009456699,0.0008087414,0.0008267108,0.0003747108,0.001215847,0.001417654,0.001624564,0.01109706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006047345,"about_ca_system_score_gemma":0.001199293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022494,"about_ca_topic_score_gemma":0.002112781,"domain_scores_codex":[0.9993156,0.00007285798,0.00008703458,0.0001782545,0.0002510743,0.00009510632],"domain_scores_gemma":[0.999451,0.0002329699,0.00009993574,0.00005607822,0.0001068239,0.00005307871],"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":[0.002484128,0.0003978587,0.005983921,0.003373045,0.000490178,0.001572301,0.0006986122,0.008401987,0.240541,0.01340281,0.5057754,0.2168788],"study_design_scores_gemma":[0.000584724,0.0003235851,0.00883792,0.0003545124,0.0001400603,0.001790177,0.0002061791,0.1940885,0.380132,0.01649,0.3966296,0.0004227129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01454559,0.0005566539,0.447093,0.0002878059,0.0002100705,0.0003762524,0.03209925,0.4996231,0.005208359],"genre_scores_gemma":[0.09019592,0.0005780134,0.7634308,0.001427033,0.00007638764,0.002941427,0.06846765,0.05833752,0.01454527],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.02494404,"threshold_uncertainty_score":0.08344615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003900882653525803,"score_gpt":0.1854159668562127,"score_spread":0.1815150842026869,"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."}}