{"id":"W3107637603","doi":"10.1177/2053951720971009","title":"Viral Data","year":2020,"lang":"en","type":"article","venue":"Big Data & Society","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Biopower; Pandemic; Misinformation; Ideology; Big data; Sociology; Coronavirus disease 2019 (COVID-19); Disinformation; 2019-20 coronavirus outbreak; Data collection; Criminology; Political science; Media studies; Politics; Law; Virology; Social science; Social media; Computer science; Biology","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":[0.006223223,0.0008110695,0.0008604176,0.005859844,0.003092285,0.01192588,0.002527413,0.002679626,0.09119701],"category_scores_gemma":[0.04215866,0.0006131078,0.001125662,0.009174545,0.001426209,0.01265281,0.007295364,0.003171808,0.0742429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002163898,"about_ca_system_score_gemma":0.004284058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00790323,"about_ca_topic_score_gemma":0.006926961,"domain_scores_codex":[0.9921376,0.001870069,0.0008743683,0.001255636,0.003302402,0.0005599071],"domain_scores_gemma":[0.9715055,0.006592777,0.001639509,0.01209969,0.006604573,0.001557961],"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":[0.0002462818,0.00006771265,0.00714715,0.000997129,0.00008902969,0.0003018803,0.00194539,0.0007280522,0.001288679,0.1263429,0.6900855,0.1707603],"study_design_scores_gemma":[0.000007754319,0.00001102197,0.0009455839,0.0002079158,0.000009100661,0.0001547926,0.0005735951,0.0006559545,0.0004216541,0.01508844,0.981902,0.00002227017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01267815,0.01016916,0.08609919,0.03986933,0.01094961,0.00143274,0.3166889,0.01468252,0.5074304],"genre_scores_gemma":[0.1391485,0.01689575,0.07642127,0.01720844,0.00459191,0.001529248,0.4641557,0.00710878,0.2729403],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09119701,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3139111918513461,"score_gpt":0.3324540440068742,"score_spread":0.01854285215552803,"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."}}