{"id":"W3111588060","doi":"10.1007/978-981-15-9682-7_2","title":"AI for Covid-19: Conduits for Public Health Surveillance","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes on data engineering and communications technologies","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Provincial Health Services Authority","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Contact tracing; Public health; Internet privacy; Big data; Social media; Public health surveillance; Data science; Location data; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Data collection; Computer science; Public relations; Business; Computer security; Political science; World Wide Web; Medicine; Data mining; Sociology; Infectious disease (medical specialty); Virology","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":[0.003278659,0.0007562718,0.0003345289,0.001890915,0.001411212,0.004476764,0.001913354,0.002355631,0.1006517],"category_scores_gemma":[0.005802293,0.0004297612,0.000444388,0.001470834,0.001028913,0.004717181,0.002261351,0.002970925,0.02559828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002036282,"about_ca_system_score_gemma":0.002451984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007648845,"about_ca_topic_score_gemma":0.009657393,"domain_scores_codex":[0.9985775,0.0002848901,0.00004349861,0.000146025,0.0008195594,0.0001285357],"domain_scores_gemma":[0.9974514,0.001058913,0.00009462103,0.0004031099,0.0007202348,0.000271738],"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":[0.00004882669,0.00006364716,0.0002725777,0.0001042158,0.000006911585,0.00009603921,0.0001913384,0.001113115,0.00138824,0.2482523,0.5388473,0.2096155],"study_design_scores_gemma":[0.000008757732,0.00003446954,0.0001464586,0.00008509768,0.000003573106,0.0001229164,0.00004914055,0.007330693,0.001048222,0.02265342,0.9685061,0.00001106364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002310178,0.004448402,0.1313581,0.01700829,0.005344253,0.0003354837,0.001132011,0.006563777,0.8314995],"genre_scores_gemma":[0.04894733,0.003691215,0.07947547,0.003816975,0.001425695,0.0001897519,0.002414467,0.001795112,0.8582439],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1006517,"threshold_uncertainty_score":0.3367136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1564944481608023,"score_gpt":0.3358454771417889,"score_spread":0.1793510289809866,"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."}}