{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001710065,0.0004051727,0.0007859763,0.0004187124,0.0002441414,0.0003204279,0.0009739313,0.0002030839,0.000005411847],"category_scores_gemma":[0.0001096792,0.0004149498,0.0002383789,0.0001263463,0.00001779155,0.0009168021,0.000271931,0.0001864249,5.285333e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009661431,"about_ca_system_score_gemma":0.0005225535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002069324,"about_ca_topic_score_gemma":0.0009600755,"domain_scores_codex":[0.9980781,0.00007679444,0.0006254083,0.0005615851,0.0002930265,0.0003650504],"domain_scores_gemma":[0.9976297,0.0007344081,0.0003688866,0.0008452218,0.000282643,0.0001391645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001936127,0.00221029,0.0006034913,0.1343376,0.004001426,0.0002434388,0.03814991,0.0003451426,0.0104291,0.555598,0.000290446,0.251855],"study_design_scores_gemma":[0.04367453,0.005336646,0.2531839,0.05433337,0.008120085,0.0001715703,0.2001595,0.2092546,0.1339003,0.04560625,0.02683968,0.01941961],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7398891,0.09310503,0.04440216,0.007609583,0.003608851,0.007881887,0.0007402087,0.004580076,0.09818308],"genre_scores_gemma":[0.9871248,0.006243191,0.002105673,0.00007498004,0.000030903,0.0001125037,0.0002048388,0.00003616843,0.004066918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5099917,"threshold_uncertainty_score":0.9998302,"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."}}