{"id":"W4319333199","doi":"10.1007/s12265-022-10289-y","title":"Attitudes About Artificially Intelligent Interactive Voice Response Systems Using Amazon Alexa in Cardiovascular Clinics: Insights from the VOICE-COVID-19 Study","year":2023,"lang":"en","type":"article","venue":"Journal of Cardiovascular Translational Research","topic":"AI in Service Interactions","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Heart Institute; Université de Montréal; McGill University Health Centre","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Amazon rainforest; 2019-20 coronavirus outbreak; Telehealth; Telemedicine; Computer science; Medicine; Psychology; Biology; Virology; Internal medicine; Health care","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":[0.02544596,0.0003257864,0.001002631,0.001549307,0.0006370988,0.0007946703,0.002563795,0.0001910779,0.00001242682],"category_scores_gemma":[0.00323066,0.0002550016,0.001971625,0.003470662,0.0001898918,0.001539548,0.0003839683,0.002147601,0.0001707259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009088416,"about_ca_system_score_gemma":0.002369368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003031111,"about_ca_topic_score_gemma":0.0006487261,"domain_scores_codex":[0.9812679,0.009790765,0.001671425,0.0007901233,0.005858989,0.000620816],"domain_scores_gemma":[0.983794,0.01153867,0.0003231735,0.001730807,0.0022519,0.0003614844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001080575,0.0004422572,0.006112274,0.00005364566,0.008824388,0.001550149,0.01724453,0.9574714,0.0003447445,0.0003253246,0.0001488131,0.006401947],"study_design_scores_gemma":[0.00554057,0.001107938,0.4549978,0.001398584,0.00121206,0.0006995641,0.02429305,0.3042004,0.0003346432,0.007432417,0.197586,0.001196926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7015748,0.02049292,0.2725158,0.001923159,0.001898376,0.001429533,0.00002386847,0.00006878777,0.00007279836],"genre_scores_gemma":[0.9970562,0.0006179246,0.00122473,0.00008932143,0.000877918,0.00005992547,0.00000728841,0.00004397133,0.00002268562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.653271,"threshold_uncertainty_score":0.9999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1917230130776647,"score_gpt":0.4400496045125681,"score_spread":0.2483265914349034,"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."}}