{"id":"W4297997401","doi":"10.1002/9780470027318.a9797","title":"Advances in Point‐Of‐Care Testing for Emergency Response, Infectious Diseases, and Critical Care — Novel Technologies, Practice Standards, and Improved Outcomes","year":2022,"lang":"en","type":"other","venue":"Encyclopedia of Analytical Chemistry","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Point-of-care testing; Medicine; Health care; Scope (computer science); Infectious disease (medical specialty); Medical emergency; Emergency department; Intensive care medicine; Computer science; Disease; Nursing; Pathology; Political science","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002109123,0.0002878683,0.0007064214,0.0001870821,0.00005328031,0.000007776699,0.0000939982,0.0002942108,0.0001311732],"category_scores_gemma":[0.05146024,0.0002734947,0.0001019344,0.0003651173,0.0002594171,0.00006748464,0.0001590504,0.0004793471,1.04588e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001551304,"about_ca_system_score_gemma":0.0003332757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004970856,"about_ca_topic_score_gemma":0.00002195833,"domain_scores_codex":[0.9983769,0.00002795803,0.0005101158,0.0004955314,0.0003328837,0.0002565951],"domain_scores_gemma":[0.9973494,0.001635481,0.0002715191,0.0002977033,0.0003674108,0.00007844717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005059305,0.001351738,0.8547553,0.05954758,0.0005386121,0.0002698433,0.0009186206,0.000002096622,0.02041573,0.0002932956,0.007389184,0.04945866],"study_design_scores_gemma":[0.008119434,0.002507757,0.005533867,0.001998397,0.002598594,0.0003162394,0.02736553,0.0004201594,0.004240459,0.0003697132,0.9450803,0.001449567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05409575,0.08108731,0.0003869331,0.0007247581,0.0004183355,0.001668814,0.002593124,0.000784139,0.8582408],"genre_scores_gemma":[0.9230382,0.008986331,0.03652415,0.0003737284,0.000924444,0.0007931143,0.0003545634,0.001426063,0.02757938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9376911,"threshold_uncertainty_score":0.9999717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193499538705162,"score_gpt":0.3342244893770737,"score_spread":0.322289493990022,"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."}}