{"id":"W4226084697","doi":"10.1021/acssensors.1c01972","title":"Screening for Group A Streptococcal Disease via Solid-State Nanopore Detection of PCR Amplicons","year":2022,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; CHEO Research Institute","keywords":"Nanopore; Nanopore sequencing; Amplicon; Polymerase chain reaction; Computational biology; Nanotechnology; Solid-state; Nucleic acid; Digital polymerase chain reaction; Biology; Materials science; Chemistry; DNA sequencing; Genetics; DNA; Gene","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":[0.0001047196,0.000171269,0.0002354209,0.0001251555,0.0002593926,0.000005989341,0.0001002467,0.00002764615,0.00002562895],"category_scores_gemma":[0.00001085673,0.0001868059,0.000141062,0.0002267073,0.00004219581,0.00006686179,0.0000390388,0.0001225832,0.000001585205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003652139,"about_ca_system_score_gemma":0.000008519198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002698032,"about_ca_topic_score_gemma":0.00004480704,"domain_scores_codex":[0.9990176,0.00001695844,0.000284228,0.0002065385,0.0001699137,0.0003047521],"domain_scores_gemma":[0.9995732,0.00006505536,0.00005520123,0.000182388,0.00003526378,0.00008885882],"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":[0.0007297025,0.0002275133,0.01036388,0.0007124488,0.000711009,0.00008751805,0.00302078,0.3726166,0.5876604,0.0001484557,0.0008111821,0.02291055],"study_design_scores_gemma":[0.006440742,0.001562601,0.05567233,0.0001746615,0.0008500729,0.00004392905,0.003943974,0.1078147,0.7665514,0.00414944,0.05012189,0.002674232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655699,0.0002701612,0.0327029,0.00003382569,0.0002899941,0.0005418856,0.0003123936,0.0002357522,0.00004315765],"genre_scores_gemma":[0.9991063,0.00004581808,0.0002777573,0.00001908228,0.00005751001,0.0002649055,0.00006458082,0.0000502353,0.0001138124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2648019,"threshold_uncertainty_score":0.7617723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513296400764044,"score_gpt":0.227477927441554,"score_spread":0.2123449634339135,"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."}}