{"id":"W4377246521","doi":"10.1016/j.cardfail.2023.05.004","title":"Voice-assisted Artificial Intelligence-enabled Screening for Severe Acute Respiratory Syndrome Coronavirus 2 Exposure in Cardiovascular Clinics: Primary Results of the VOICE-COVID-19-II Randomized Trial","year":2023,"lang":"en","type":"article","venue":"Journal of Cardiac Failure","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute; McGill University; Université de Montréal; McGill University Health Centre","funders":"Alberta Innovates; European Society of Cardiology; McGill University Health Centre; Fondation Institut de Cardiologie de Montréal; Boston Scientific Corporation; GlaxoSmithKline; AstraZeneca; Institut de Cardiologie de Montréal; Daiichi-Sankyo; Pfizer; Bristol-Myers Squibb","keywords":"Medicine; Concordance; Confidence interval; Randomized controlled trial; Kappa; Clinical trial; Physical therapy; Cohen's kappa; Internal medicine; Pediatrics; Family medicine","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.01370998,0.0003139712,0.002397201,0.0006099571,0.0003230338,0.00004328319,0.000395385,0.0004915371,0.00001285112],"category_scores_gemma":[0.009518813,0.0002236748,0.002952291,0.001346355,0.0002598685,0.00026333,0.0001096715,0.0009743749,0.00001159436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004193928,"about_ca_system_score_gemma":0.002678235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002127811,"about_ca_topic_score_gemma":0.00006680274,"domain_scores_codex":[0.9929788,0.001364233,0.003495983,0.0004267779,0.001214336,0.0005198435],"domain_scores_gemma":[0.9933351,0.002965658,0.001523878,0.000768585,0.001048167,0.0003585766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8681582,0.0003559547,0.001914877,0.0006672664,0.00390867,0.0002158015,0.005978923,0.005383325,0.0008398323,0.00006457174,0.007545791,0.1049668],"study_design_scores_gemma":[0.5161734,0.01468792,0.0203164,0.005646684,0.01762178,0.001698775,0.04387964,0.001434865,0.01143596,0.01148143,0.353284,0.002339171],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978688,0.003404844,0.001786093,0.006716177,0.004571029,0.004520318,0.0001640256,0.0000513936,0.00009813921],"genre_scores_gemma":[0.9938473,0.0008242563,0.00172826,0.0008278293,0.002214891,0.0001971627,0.00006635636,0.00006531221,0.000228679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3519848,"threshold_uncertainty_score":0.9988244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1612750597406264,"score_gpt":0.4072428615313194,"score_spread":0.245967801790693,"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."}}