{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002427998,0.000171799,0.0005259388,0.0001749825,0.0002769867,0.000184285,0.0000906214,0.00006191681,0.000009453817],"category_scores_gemma":[0.001105346,0.0001667478,0.0005211156,0.000360591,0.00004230503,0.0002722191,0.00002563297,0.0006401277,0.0001091832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124183,"about_ca_system_score_gemma":0.001554224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005029998,"about_ca_topic_score_gemma":0.00003416113,"domain_scores_codex":[0.9972121,0.0003733827,0.001098656,0.000345185,0.0003919625,0.0005787371],"domain_scores_gemma":[0.9983108,0.0003190787,0.0001697684,0.0003752025,0.0004699258,0.0003552352],"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":[0.0005489283,0.000746175,0.1228904,0.0007726655,0.0001443951,0.0009199425,0.001586297,0.0005536021,0.0002498289,0.00003331178,0.01412602,0.8574284],"study_design_scores_gemma":[0.001788506,0.004188569,0.08927369,0.003235289,0.00009164657,0.004061259,0.004158392,0.001902718,0.006924896,0.0006838001,0.8830164,0.00067483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473327,0.0115888,0.01819136,0.0188249,0.001466468,0.0008273044,0.00003585474,0.00008118884,0.00165142],"genre_scores_gemma":[0.9830658,0.0002157223,0.005120074,0.009770174,0.001518129,0.000005974741,0.00007623426,0.00006730579,0.0001605752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8688904,"threshold_uncertainty_score":0.6799779,"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."}}