{"id":"W4324020216","doi":"10.1371/journal.pdig.0000199","title":"Proactive Contact Tracing","year":2023,"lang":"en","type":"article","venue":"PLOS Digital Health","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McGill University; Canadian Institute for Advanced Research; University of Ottawa; Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Contact tracing; Computer science; Psychological intervention; Negotiation; Coronavirus disease 2019 (COVID-19); Pandemic; Test (biology); Internet privacy; Computer security; Psychology; Infectious disease (medical specialty); Medicine; Disease; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002596021,0.001197941,0.001080847,0.001642514,0.001178834,0.002471642,0.003421958,0.002433457,0.008666341],"category_scores_gemma":[0.01428341,0.0007153722,0.00116732,0.0009599746,0.0007441044,0.003548373,0.002480428,0.001705166,0.002132334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112336,"about_ca_system_score_gemma":0.002503225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01027444,"about_ca_topic_score_gemma":0.009623581,"domain_scores_codex":[0.9972141,0.0009004275,0.0001578214,0.0008428392,0.0006645314,0.0002202836],"domain_scores_gemma":[0.992942,0.003800593,0.0008606186,0.001265155,0.0007442513,0.0003873125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009338171,0.001241869,0.1000731,0.001003044,0.0004123608,0.001209608,0.002350311,0.331989,0.008253106,0.1051514,0.03252916,0.4148532],"study_design_scores_gemma":[0.00008799604,0.0002746387,0.007199168,0.0001435772,0.0001533871,0.0006971972,0.000475742,0.9027607,0.002960694,0.05705476,0.02810259,0.00008956737],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1030234,0.001029581,0.8438085,0.00382662,0.000357558,0.001575128,0.003683795,0.005637693,0.03705761],"genre_scores_gemma":[0.8022598,0.0005682239,0.1795944,0.0008235152,0.0001291465,0.000611699,0.002286442,0.000237265,0.01348957],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01027444,"threshold_uncertainty_score":0.02899176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05717222657511472,"score_gpt":0.3098618018330245,"score_spread":0.2526895752579097,"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."}}