{"id":"W4390640204","doi":"10.1016/j.mtchem.2024.101906","title":"Label-free electrochemical immunosensor employing new redox probes/porous organic polymers/graphene oxide nanocomposite towards multiplex detection of three SARS-COV2-induced storming proteins for severe COVID-19 diagnosis","year":2024,"lang":"en","type":"article","venue":"Materials Today Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Graduate School; Center of Excellence for Innovation in Chemistry; Faculty of Science, Prince of Songkla University; Thailand Graduate Institute of Science and Technology; National Science and Technology Development Agency; Chiang Mai University","keywords":"Multiplex; Coronavirus; Biosensor; Materials science; Graphene; Coronavirus disease 2019 (COVID-19); Electrochemistry; Nanotechnology; Electrode; Chemistry; Medicine; Disease; Bioinformatics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002992348,0.0004593826,0.0005244648,0.00007540236,0.0001653476,0.0001013114,0.0004112017,0.0005473971,0.00002116525],"category_scores_gemma":[0.0004924493,0.0004368764,0.000236341,0.0002720836,0.00009555258,0.00001768548,0.0002338447,0.0001618219,9.201258e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001672728,"about_ca_system_score_gemma":0.0003511425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004221721,"about_ca_topic_score_gemma":0.00006198479,"domain_scores_codex":[0.9976919,0.00004650128,0.0006564814,0.0008553647,0.0002437855,0.0005059791],"domain_scores_gemma":[0.9986322,0.00003453739,0.0002878495,0.0007367044,0.0001412646,0.000167437],"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":[0.0004457815,0.0000914792,0.00004237773,0.0006691797,0.0002782421,0.000009318289,0.00003233467,7.393307e-7,0.9960567,0.000002268885,0.0001753897,0.002196178],"study_design_scores_gemma":[0.0008113425,0.0002309833,0.00002789777,0.0001810263,0.0001864914,0.0001115569,0.00001745111,0.00001093693,0.9962225,0.0002374189,0.001431498,0.0005308753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990093,0.0007160042,0.007526144,0.0002568827,0.0001193499,0.000780592,0.0002203684,0.0002647959,0.00002288277],"genre_scores_gemma":[0.98739,0.0001693275,0.01106293,0.0001051164,0.0004215305,0.0002000409,0.0003814682,0.0001021065,0.0001675006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003536788,"threshold_uncertainty_score":0.9998083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688853801851833,"score_gpt":0.2777650254697982,"score_spread":0.2608764874512799,"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."}}