{"id":"W4300689318","doi":"10.2196/40233","title":"Effectiveness, Policy, and User Acceptance of COVID-19 Contact-Tracing Apps in the Post–COVID-19 Pandemic Era: Experience and Comparative Study","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contact tracing; Geolocation; Coronavirus disease 2019 (COVID-19); Pandemic; Interoperability; Computer science; Internet privacy; World Wide Web; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004965662,0.000304305,0.0006908613,0.0003756771,0.0008625519,0.0003924559,0.0008232137,0.00005218301,0.000005144343],"category_scores_gemma":[0.001539869,0.0002594535,0.00004187186,0.001409426,0.000187907,0.0009917553,0.0007101779,0.0005049636,4.079225e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006866573,"about_ca_system_score_gemma":0.003257691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004246182,"about_ca_topic_score_gemma":0.003117116,"domain_scores_codex":[0.9945362,0.00258498,0.000633426,0.0009304704,0.0005982176,0.0007167437],"domain_scores_gemma":[0.9940255,0.004114856,0.0003457809,0.0005966424,0.0000893366,0.0008278829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001281381,0.000221681,0.8997353,0.0005074679,0.00001436681,0.00002483203,0.0886965,0.00005468961,0.0000489866,0.007096592,0.00004748052,0.003423911],"study_design_scores_gemma":[0.002330968,0.0009353521,0.9627479,0.00001932353,5.664681e-7,0.000138263,0.02111796,0.001173206,9.928789e-7,0.0002183126,0.0109815,0.000335652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800101,0.001747658,0.00657475,0.009171907,0.0000826613,0.002159579,0.00004211453,0.0001055955,0.000105657],"genre_scores_gemma":[0.9877516,0.0001122923,0.00007605727,0.01140691,0.00002581238,0.0005988391,0.000007962583,0.00001020427,0.00001030007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06757854,"threshold_uncertainty_score":0.9999858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08360328959794296,"score_gpt":0.3894744395911808,"score_spread":0.3058711499932379,"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."}}