{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01220095,0.0003428004,0.0007646767,0.002192036,0.001329135,0.003479024,0.0008706403,0.001082819,0.003110027],"category_scores_gemma":[0.0595662,0.0003546332,0.0009013467,0.001389341,0.001249354,0.004408447,0.00211611,0.001152359,0.000631186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308297,"about_ca_system_score_gemma":0.001803265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004934952,"about_ca_topic_score_gemma":0.003368485,"domain_scores_codex":[0.9906193,0.005126036,0.000822476,0.0006036774,0.001931513,0.0008969732],"domain_scores_gemma":[0.9455423,0.03811621,0.006102454,0.001269973,0.005923313,0.003045826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001067332,0.002923628,0.6096253,0.002238074,0.0002194673,0.00149206,0.2098255,0.000195399,0.0007659949,0.0007408801,0.004871224,0.1660352],"study_design_scores_gemma":[0.0001374293,0.004024165,0.7242458,0.001654894,0.0004318833,0.001830251,0.2458348,0.001986274,0.0009605047,0.0003997828,0.01828166,0.0002124896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949555,0.0009307456,0.000165,0.0004162587,0.00002503975,0.0001465451,0.0001836466,0.00001934154,0.003158055],"genre_scores_gemma":[0.9974971,0.0008721977,0.0003803698,0.0002190093,0.00002246886,0.0001676743,0.0001256212,0.00001471746,0.0007007557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01220095,"threshold_uncertainty_score":0.06452554,"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."}}