{"id":"W3114828935","doi":"10.1109/uemcon51285.2020.9298048","title":"PAARS: Privacy Aware Access Regulation System","year":2020,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer security; Computer science; Internet privacy; Ephemeral key; Identifier; Information privacy; Access control; Computer network","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":[0.003820046,0.0009523709,0.001294678,0.002061648,0.001632223,0.004117703,0.00323688,0.002477109,0.01134664],"category_scores_gemma":[0.008566119,0.0008238283,0.001005812,0.001430774,0.001470901,0.006582335,0.006147448,0.002933311,0.01059599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007933514,"about_ca_system_score_gemma":0.001904761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178682,"about_ca_topic_score_gemma":0.0006614112,"domain_scores_codex":[0.9944596,0.001199922,0.0006884521,0.001297613,0.001854073,0.0005003096],"domain_scores_gemma":[0.9906994,0.001655675,0.0009312186,0.004951338,0.001265464,0.0004969278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003291632,0.001267401,0.01547991,0.001337728,0.0004659553,0.002073628,0.00218732,0.01360297,0.06486975,0.1048242,0.2298689,0.5607306],"study_design_scores_gemma":[0.0004526307,0.001046184,0.005832464,0.0002554916,0.0004148149,0.003374435,0.0005278459,0.2674619,0.1271234,0.05733826,0.535737,0.000435663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02699655,0.001069446,0.6445605,0.00171257,0.000379788,0.001381555,0.003187645,0.2964601,0.0242518],"genre_scores_gemma":[0.6808114,0.0017157,0.2406286,0.003098585,0.0007783741,0.001485581,0.01104399,0.004044316,0.05639333],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01134664,"threshold_uncertainty_score":0.03795826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08743652042142189,"score_gpt":0.3277575254684228,"score_spread":0.2403210050470009,"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."}}