{"id":"W3091662385","doi":"10.2139/ssrn.3648430","title":"Preservation of Individuals’ Privacy in Shared COVID-19 Related Data","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Rural Development Administration","keywords":"Coronavirus disease 2019 (COVID-19); Internet privacy; 2019-20 coronavirus outbreak; Information privacy; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Computer science; Virology; Medicine; Outbreak","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":["metaresearch","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.00328289,0.0001663158,0.0002650638,0.0002522258,0.00009977026,0.0001252368,0.05022119,0.000159179,0.00002458113],"category_scores_gemma":[0.05472439,0.000162572,0.00004348825,0.001455929,0.00007021111,0.002889792,0.05993947,0.00225302,0.00001506218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006261244,"about_ca_system_score_gemma":0.00361571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000945596,"about_ca_topic_score_gemma":0.0001036793,"domain_scores_codex":[0.9965697,0.0002120283,0.0006606237,0.0005967919,0.0005477612,0.001413077],"domain_scores_gemma":[0.993451,0.0001957301,0.0004762502,0.005661357,0.00006172339,0.0001539691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001929515,0.0006500775,0.1713736,0.0002759534,0.0008804286,0.0001434109,0.005847225,0.0009356227,0.003801893,0.4809773,0.2371328,0.09778884],"study_design_scores_gemma":[0.001074318,0.0002078852,0.001786857,0.00002852384,0.00001035598,0.0001060487,0.0001848591,0.08987572,0.0001576417,0.9020307,0.004345496,0.00019161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07626291,0.002706991,0.605194,0.3144445,0.0001701702,0.0004247225,0.00008056247,0.000528269,0.0001878803],"genre_scores_gemma":[0.9443246,0.002036501,0.05258005,0.0008200022,0.00005412162,0.00000625315,0.0001281526,0.00002250849,0.00002781281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8680617,"threshold_uncertainty_score":0.9788377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0774312740789251,"score_gpt":0.3149089173384905,"score_spread":0.2374776432595654,"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."}}