{"id":"W4376110021","doi":"10.1016/j.bios.2023.115359","title":"A universal bacterial sensor created by integrating a light modulating aptamer complex with photoelectrochemical signal readout","year":2023,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Detection limit; Biosensor; Peptidoglycan; Nucleic acid; Chemistry; Colloidal gold; Nanotechnology; SIGNAL (programming language); DNA; Nanoparticle; Biophysics; Materials science; Chromatography; Biochemistry; Biology; Molecular biology; Enzyme; Computer science","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":[0.0006497391,0.0006660796,0.000784562,0.0004385988,0.0002951169,0.0006170127,0.00121093,0.001294544,0.001067106],"category_scores_gemma":[0.0005643669,0.0005622097,0.0003111223,0.0004185029,0.0006525774,0.0006822041,0.0007193071,0.0009484477,0.0007138756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006784972,"about_ca_system_score_gemma":0.0006036947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003251741,"about_ca_topic_score_gemma":0.0006296851,"domain_scores_codex":[0.999027,0.00009746399,0.00005995747,0.0003596128,0.0003350097,0.0001209573],"domain_scores_gemma":[0.9996189,0.000059388,0.00007937472,0.00004440572,0.00007162357,0.0001262599],"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":[0.00005329843,0.00002140801,0.0001073066,0.00004290691,0.000004966219,0.00002426107,0.00001602299,0.00004374332,0.9960747,0.0003986536,0.00008607072,0.003126678],"study_design_scores_gemma":[0.000007630618,0.00007885174,0.0002738678,0.000002675897,0.000007961844,0.0001493232,0.000003579387,0.000929256,0.9969878,0.00004295079,0.001508333,0.000007925073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6137168,0.003340267,0.3706333,0.0007342171,0.0007754967,0.0005333429,0.0007667635,0.005228373,0.004271402],"genre_scores_gemma":[0.7778534,0.0006703772,0.2137223,0.0005558603,0.00007547082,0.0002739109,0.0006078411,0.0001352076,0.006105558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001294544,"threshold_uncertainty_score":0.004922867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007920441582682491,"score_gpt":0.2350405726703413,"score_spread":0.2271201310876588,"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."}}