{"id":"W4405431441","doi":"10.1021/acssensors.4c02280","title":"A Review on Long COVID Screening: Challenges and Perspectives Focusing on Exhaled Breath Gas Sensing","year":2024,"lang":"en","type":"review","venue":"ACS Sensors","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"Horizon 2020 Framework Programme; Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg","keywords":"Coronavirus disease 2019 (COVID-19); Standardization; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Intensive care medicine; 2019-20 coronavirus outbreak; Medicine; Exhaled breath condensate; Roche Diagnostics; Data science; Risk analysis (engineering); Computer science; Pathology; Disease; Immunology; Infectious disease (medical specialty); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001138012,0.0009854358,0.002059788,0.0003577938,0.00008110491,0.00005733429,0.0002404324,0.0005318552,0.000005938904],"category_scores_gemma":[0.0005266852,0.0007901383,0.0003622044,0.0003598912,0.0001659024,0.00007622688,0.0001367872,0.001396465,0.0000951024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003943804,"about_ca_system_score_gemma":0.00001056216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001656452,"about_ca_topic_score_gemma":0.000001766856,"domain_scores_codex":[0.9975785,0.00008024851,0.000541093,0.0009512617,0.0002781718,0.0005707345],"domain_scores_gemma":[0.9983726,0.0005522983,0.0001410738,0.000749502,0.00004301099,0.000141503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002827062,0.000009350781,1.941436e-8,0.05941746,0.0002354113,0.0003065315,0.0001221787,0.00007437975,0.00001581956,0.0002218503,0.0002872963,0.9393069],"study_design_scores_gemma":[0.0001281451,0.00008663457,3.066073e-7,0.2676855,0.001344855,0.0006886654,0.0003712993,0.00008922644,0.0003321994,0.0003075135,0.7277593,0.001206341],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002127295,0.9944865,0.00002972983,0.0003619587,0.0001015157,0.0007425764,0.00002086951,0.002192262,0.00185188],"genre_scores_gemma":[0.0002987653,0.9982561,0.0007616527,0.00005388919,0.0002175519,0.00001890957,0.00001466944,0.0002874804,0.00009102235],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9381005,"threshold_uncertainty_score":0.999455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08686881398594479,"score_gpt":0.3208827394798817,"score_spread":0.2340139254939369,"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."}}