{"id":"W4293196375","doi":"10.2139/ssrn.4119291","title":"A Compact, Low-Cost, and Binary Sensing (BiSense) Platform for Noise-Free and Self-Validated Impedimetric Detection of COVID-19 Infected Patients","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Calgary","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Binary number; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Noise (video); Virology; Computer science; Physics; Medicine; Artificial intelligence; Mathematics; Internal medicine","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":[0.0008308418,0.0002119021,0.0002614801,0.0005867403,0.0004173822,0.00004488851,0.0001209766,0.00006564801,0.000002931423],"category_scores_gemma":[0.0003136701,0.0002299911,0.0000704605,0.0006610313,0.00002794744,0.0002431004,0.00009334982,0.0009816539,3.786644e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001996414,"about_ca_system_score_gemma":0.000379736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001011115,"about_ca_topic_score_gemma":0.00008345767,"domain_scores_codex":[0.9980085,0.00006831606,0.0003487838,0.000185432,0.0002770657,0.001111889],"domain_scores_gemma":[0.9991189,0.0002792155,0.0001635965,0.0001462584,0.00009815435,0.0001939205],"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":[0.001079426,0.0005736226,0.07018044,0.0008805617,0.001524015,0.00003019324,0.002037857,0.01721211,0.8449426,0.0003614235,0.0002712186,0.06090656],"study_design_scores_gemma":[0.09153817,0.02305364,0.04870944,0.0004133057,0.00214028,0.008783253,0.01161034,0.1540003,0.5555282,0.09284902,0.005023655,0.006350364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831834,0.000943929,0.01486522,0.00001762317,0.000326256,0.0004681968,0.00003518592,0.0001422991,0.00001790445],"genre_scores_gemma":[0.9990766,0.0005458469,0.000167751,0.00001332991,0.0001118563,0.000007133853,0.00001485364,0.00005717174,0.000005451979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2894144,"threshold_uncertainty_score":0.9378765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00943409292564622,"score_gpt":0.2249517964369228,"score_spread":0.2155177035112765,"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."}}