{"id":"W3135777963","doi":"10.2196/24811","title":"Self-Sampling for SARS-CoV-2 Diagnostic Testing by Using Nasal and Saliva Specimens: Protocol for Usability and Clinical Evaluation","year":2021,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health","keywords":"Medicine; Usability; Pandemic; Population; Clinical trial; Saliva; Data collection; Protocol (science); Sampling (signal processing); Coronavirus disease 2019 (COVID-19); Environmental health; Disease; Pathology; Statistics; Alternative medicine; Internal medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008380005,0.0002391389,0.0004755106,0.0001405555,0.0005466957,0.0002655672,0.000100287,0.0002339543,0.000009617604],"category_scores_gemma":[0.05113931,0.0002227462,0.000107416,0.000517573,0.0002594144,0.0002078739,0.00020054,0.0006064386,0.00000288935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002760951,"about_ca_system_score_gemma":0.0009054861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001962411,"about_ca_topic_score_gemma":0.00001315324,"domain_scores_codex":[0.9959769,0.0007297011,0.0008544641,0.0009383502,0.0008100189,0.0006905514],"domain_scores_gemma":[0.985846,0.01108024,0.0002039288,0.0004273629,0.002295968,0.0001465417],"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":[0.001410936,0.0018289,0.06106903,0.006569229,0.0001034552,0.00001718265,0.0001660166,0.000001507868,0.8584123,0.00005153272,0.001365873,0.06900401],"study_design_scores_gemma":[0.0306634,0.006629935,0.007493169,0.006913592,0.00008817663,0.0002596293,0.0002285103,0.167128,0.6253743,0.002521835,0.152075,0.0006244857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.1309163,0.0000057141,0.001269539,0.0001541697,0.00001096904,0.8673387,0.00001750783,0.0001228879,0.0001642246],"genre_scores_gemma":[0.003034786,1.202989e-7,0.0518936,0.0001880553,0.000451143,0.9443527,0.000008920895,0.00005981304,0.00001088797],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.2330381,"threshold_uncertainty_score":0.9568533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7067190433403014,"score_gpt":0.6623856486305788,"score_spread":0.04433339470972264,"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."}}