{"id":"W3162877908","doi":"10.1016/j.jelechem.2021.115341","title":"Ultra-precise label-free nanosensor based on integrated graphene with Au nanostars toward direct detection of IgG antibodies of SARS-CoV-2 in blood","year":2021,"lang":"en","type":"article","venue":"Journal of Electroanalytical Chemistry","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Shiraz University of Medical Sciences","keywords":"Chemistry; Nanosensor; Antibody; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Virology; Nanotechnology; Immunology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002855291,0.0003970163,0.0002592685,0.0002907643,0.0001782112,0.0002894662,0.0006953435,0.000860318,0.0004737976],"category_scores_gemma":[0.0003265647,0.0002741463,0.0002542339,0.0001493685,0.0002814101,0.0003495311,0.0003537629,0.000347397,0.0002353992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003891551,"about_ca_system_score_gemma":0.000205116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004438668,"about_ca_topic_score_gemma":0.001258973,"domain_scores_codex":[0.9996299,0.00004481676,0.00001697139,0.00009724103,0.0001670776,0.00004410941],"domain_scores_gemma":[0.9998366,0.00004294063,0.00003198669,0.00002428034,0.00004568016,0.00001859869],"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":[0.00003949318,0.00001150373,0.0001098472,0.00002684387,0.000005199616,0.00003288027,0.00001717212,0.00009706434,0.9974186,0.00008380638,0.00006709807,0.002090358],"study_design_scores_gemma":[0.000005732252,0.0001080545,0.0008440571,0.000002724436,0.00001237809,0.00008479184,0.00001315438,0.003516256,0.9946155,0.00004381713,0.0007435591,0.0000100481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347925,0.001944682,0.05849222,0.000361164,0.0003021151,0.00008699008,0.0002599777,0.0007744451,0.00298604],"genre_scores_gemma":[0.9603325,0.0003761969,0.0365988,0.0002200373,0.00003326101,0.00004532125,0.0001342817,0.00002247352,0.002237234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000860318,"threshold_uncertainty_score":0.002823532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254448420682531,"score_gpt":0.2826393869016038,"score_spread":0.2571945448333507,"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."}}