{"id":"W4283696421","doi":"10.3390/bios12070466","title":"Highly Sensitive Flexible SERS-Based Sensing Platform for Detection of COVID-19","year":2022,"lang":"en","type":"article","venue":"Biosensors","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Nanotechnology; Multiplex; Flexibility (engineering); Context (archaeology); Computer science; Surface-enhanced Raman spectroscopy; Substrate (aquarium); Coronavirus disease 2019 (COVID-19); Fingerprint (computing); Materials science; Raman spectroscopy; Infectious disease (medical specialty); Disease; Bioinformatics; Medicine; Artificial intelligence; Biology; Raman scattering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002264725,0.0001607845,0.0002188129,0.000228758,0.0002626205,0.0000150401,0.00005487496,0.00008567309,0.00001920232],"category_scores_gemma":[0.00008882523,0.0001748571,0.0001649797,0.0004012579,0.00005023669,0.00005035066,0.0000212061,0.0001700574,0.000005978993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003058473,"about_ca_system_score_gemma":0.00004109539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007556164,"about_ca_topic_score_gemma":0.00002433763,"domain_scores_codex":[0.9990171,0.00003361501,0.0002608393,0.0002149928,0.0002062033,0.0002672468],"domain_scores_gemma":[0.9994004,0.0001807374,0.0000639648,0.0001666359,0.00005713534,0.0001310639],"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":[0.0002488503,0.00003021163,0.000009852339,0.000223915,0.00007104568,0.00001223852,0.0001883397,0.175283,0.8172431,0.0002572717,0.0004644969,0.005967663],"study_design_scores_gemma":[0.0005308508,0.0001762399,0.00005561256,0.000006035074,0.00003468705,0.0000164555,0.0004664589,0.3743114,0.6096672,0.0001627615,0.01438435,0.0001879378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283253,0.0000417201,0.06895067,0.0002963053,0.0007283217,0.0004321455,0.0002069157,0.0006096717,0.0004089313],"genre_scores_gemma":[0.9983988,0.000004239285,0.001085643,0.000207639,0.00009072237,0.000009249227,0.00002148873,0.00004066309,0.0001415119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2075759,"threshold_uncertainty_score":0.7130467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336580431182011,"score_gpt":0.2442747810553289,"score_spread":0.2209089767435088,"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."}}