{"id":"W3137177795","doi":"10.2196/27232","title":"Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps: Open-Source Intelligence Approach and Content Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contact tracing; Coronavirus disease 2019 (COVID-19); Open source; Tracing; Computer science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Internet privacy; Medicine; Virology; Infectious disease (medical specialty); Outbreak","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":[0.01826272,0.0005716106,0.0005944233,0.0220264,0.001434696,0.004571533,0.00105955,0.0007458939,0.001625524],"category_scores_gemma":[0.07318737,0.0003715439,0.0008297366,0.01746797,0.001901336,0.005121216,0.003735885,0.001010798,0.0004032212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003751737,"about_ca_system_score_gemma":0.004324518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004404295,"about_ca_topic_score_gemma":0.004745337,"domain_scores_codex":[0.9882366,0.004702618,0.002230519,0.0009939666,0.003302185,0.0005341],"domain_scores_gemma":[0.8895605,0.07035406,0.01233068,0.005251255,0.02123681,0.001266721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003011626,0.0007085626,0.5705008,0.004015741,0.0002852963,0.0007665093,0.1193506,0.0018618,0.006181436,0.01786702,0.006570106,0.271591],"study_design_scores_gemma":[0.00005925404,0.0003872995,0.7857819,0.001886988,0.0003865194,0.0004555213,0.1213749,0.01768355,0.007588326,0.01451963,0.04968831,0.0001878541],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9229801,0.0002676567,0.04621724,0.000835244,0.00004836602,0.00449702,0.007779137,0.0002008347,0.01717434],"genre_scores_gemma":[0.8832728,0.0003492995,0.09555218,0.0001526043,0.00004867727,0.008597996,0.01021811,0.00007355939,0.001734841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0220264,"threshold_uncertainty_score":0.09658372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1370647852584225,"score_gpt":0.3941836246799826,"score_spread":0.2571188394215601,"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."}}