{"id":"W4411227069","doi":"10.33540/2932","title":"Untapped potential: Opportunities and challenges for self-led contact tracing during outbreaks of communicable diseases","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Contact tracing; Outbreak; Tracing; Business; Medicine; Political science; Computer science; Virology; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Pathology; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.1169931,0.0007613748,0.001358693,0.00200479,0.008993517,0.02129273,0.005582312,0.006065778,0.01275925],"category_scores_gemma":[0.1426761,0.0008805719,0.001524745,0.002505985,0.01264676,0.02540405,0.02111761,0.008258051,0.002439536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005324434,"about_ca_system_score_gemma":0.0350876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005210492,"about_ca_topic_score_gemma":0.008726171,"domain_scores_codex":[0.8822743,0.09938657,0.002102296,0.003478001,0.007904271,0.004854607],"domain_scores_gemma":[0.7703196,0.1895375,0.006764281,0.01062511,0.01191982,0.01083367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002424248,0.0006289314,0.02164128,0.006786687,0.0001278438,0.001740452,0.2267819,0.001144231,0.001162697,0.1057119,0.03940181,0.5946299],"study_design_scores_gemma":[0.00009557809,0.0008541137,0.009720978,0.01866397,0.0001538275,0.001678365,0.4018943,0.005525812,0.001396588,0.2533536,0.3064305,0.0002323318],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1280481,0.03788024,0.04630731,0.6936305,0.0033172,0.001270317,0.0005352673,0.0003983611,0.08861262],"genre_scores_gemma":[0.9022664,0.02035896,0.0462099,0.02201792,0.0009918575,0.001856906,0.0002983401,0.0001852128,0.005814476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1169931,"threshold_uncertainty_score":0.6187261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0474473846322571,"score_gpt":0.2811848465465349,"score_spread":0.2337374619142778,"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."}}