{"id":"W4225255017","doi":"10.3390/jpm12050729","title":"Public Perspectives on Exposure Notification Apps: A Patient and Citizen Co-Designed Study","year":2022,"lang":"en","type":"article","venue":"Journal of Personalized Medicine","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université du Québec à Montréal; Center for Interuniversity Research and Analysis on Organizations; Polytechnique Montréal; Université de Montréal; McGill University Health Centre; Montreal Children's Hospital","funders":"Fonds de Recherche du Québec - Santé","keywords":"Download; Geolocation; Internet privacy; Confidentiality; Government (linguistics); Software deployment; General partnership; Contact tracing; Smartphone app; Enabling; World Wide Web; Coronavirus disease 2019 (COVID-19); Medical education; Medicine; Computer science; Psychology; Business; Computer security","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":[0.001409077,0.000159402,0.0003702622,0.0004902234,0.0002740131,0.0001058434,0.0005056336,0.00002116859,0.0001187707],"category_scores_gemma":[0.0006139889,0.0001249065,0.00007718417,0.0004650685,0.00008111641,0.0004687128,0.0001154312,0.0003697337,0.00000168245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003781814,"about_ca_system_score_gemma":0.0002297121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001267273,"about_ca_topic_score_gemma":0.00000177662,"domain_scores_codex":[0.997385,0.0003413601,0.0005001249,0.0003116412,0.001261633,0.0002002243],"domain_scores_gemma":[0.9982713,0.0004538374,0.0004921096,0.0002793205,0.0003067388,0.0001967313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001830584,0.004837018,0.01043784,0.0001262852,0.0007738172,0.00154985,0.7706304,0.0001610732,0.02518397,0.04713211,0.008665901,0.1286712],"study_design_scores_gemma":[0.0414105,0.0920053,0.05341286,0.0007556565,0.0003786671,0.002368374,0.7517247,0.004204893,0.0006708347,0.004065037,0.04745451,0.001548684],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425418,0.003295399,0.02696112,0.0246039,0.0004448683,0.0006532517,0.000005179263,0.00006609868,0.001428388],"genre_scores_gemma":[0.9980758,0.00003255651,0.0005668169,0.001037813,0.0001462548,0.00001966443,0.000001247393,0.00001137862,0.0001084896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1271225,"threshold_uncertainty_score":0.5093538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05938361863101166,"score_gpt":0.3045445459898361,"score_spread":0.2451609273588244,"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."}}