{"id":"W3170186245","doi":"10.1093/ehjdh/ztab055","title":"Voice-based screening for SARS-CoV-2 exposure in cardiovascular clinics","year":2021,"lang":"en","type":"article","venue":"European Heart Journal - Digital Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; University of Ottawa; McGill University; Université de Montréal; McGill University Health Centre","funders":"McGill University Health Centre; Amazon Web Services","keywords":"Medicine; Context (archaeology); Cohen's kappa; Inter-rater reliability; Health care; Confidence interval; Kappa; Family medicine; Rating scale; Internal medicine; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005512107,0.0003046993,0.0003155205,0.0006251512,0.0003146338,0.0007476877,0.0005102849,0.0005278448,0.006096993],"category_scores_gemma":[0.02443638,0.0001666139,0.0003206038,0.0002515218,0.0002833247,0.000483716,0.0009026694,0.0003684772,0.001195761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003071732,"about_ca_system_score_gemma":0.000669974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129229,"about_ca_topic_score_gemma":0.002149406,"domain_scores_codex":[0.9943895,0.003908213,0.0004672801,0.0004165549,0.0005892446,0.0002292558],"domain_scores_gemma":[0.9818622,0.01000339,0.004376272,0.0006914758,0.002233535,0.000833079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002379533,0.001177425,0.7179268,0.001286064,0.0001210158,0.0008450217,0.006889523,0.0005488853,0.0139527,0.0002775047,0.007166195,0.2474293],"study_design_scores_gemma":[0.0003826751,0.01210484,0.9456252,0.0007255197,0.0002235981,0.00372069,0.007172405,0.006967311,0.01010976,0.0006020416,0.01223079,0.0001351461],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858719,0.0005732893,0.005144324,0.000765319,0.00007540803,0.0007702365,0.0006774501,0.0001792411,0.005942863],"genre_scores_gemma":[0.9912955,0.0003246648,0.006502497,0.00046338,0.00009760905,0.0003327738,0.0001636236,0.0000105615,0.0008094691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006096993,"threshold_uncertainty_score":0.02915114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3217032978222115,"score_gpt":0.4592702664062936,"score_spread":0.1375669685840821,"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."}}