{"id":"W3188140690","doi":"10.1111/1758-5899.12888","title":"COVID‐Apps: Misdirecting Public Health Attention in a Pandemic","year":2021,"lang":"en","type":"article","venue":"Global Policy","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Pandemic; Public health; Coronavirus disease 2019 (COVID-19); Isolation (microbiology); Phone; Telehealth; Business; Directive; Investment (military); Health care; Internet privacy; Medicine; Public relations; Economic growth; Disease; Political science; Telemedicine; Nursing; Infectious disease (medical specialty); Economics; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02366497,0.0008242673,0.0005560793,0.001517058,0.0101179,0.01331078,0.003210913,0.03516988,0.01092055],"category_scores_gemma":[0.0789967,0.0005642645,0.001194809,0.001063656,0.01796306,0.01894571,0.009953448,0.02863842,0.002844751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009863394,"about_ca_system_score_gemma":0.02854155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04236559,"about_ca_topic_score_gemma":0.04475364,"domain_scores_codex":[0.9729575,0.01652568,0.001139747,0.001441397,0.00437137,0.003564264],"domain_scores_gemma":[0.9280958,0.05787427,0.00184749,0.001689165,0.005714866,0.004778279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005789593,0.00006737767,0.001140784,0.0006735869,0.00002299105,0.0008559144,0.02305946,0.0002573212,0.0004386668,0.1633873,0.7438936,0.0661451],"study_design_scores_gemma":[0.00003379288,0.00005455269,0.0007577952,0.002236591,0.00002713646,0.0003778436,0.01786799,0.0003830548,0.0003938773,0.02415642,0.9536635,0.00004738043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001626046,0.003064947,0.0006464564,0.9745915,0.004662445,0.00002324979,0.00002144039,0.00006824376,0.0152957],"genre_scores_gemma":[0.07126579,0.008146799,0.002161371,0.8948475,0.006215118,0.0001345655,0.00004422711,0.0002027994,0.01698188],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04236559,"threshold_uncertainty_score":0.1251538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07367061228675542,"score_gpt":0.3679425127152235,"score_spread":0.2942719004284681,"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."}}