{"id":"W3090477134","doi":"10.1038/s41746-020-00342-y","title":"Social license for the use of big data in the COVID-19 era","year":2020,"lang":"en","type":"article","venue":"npj Digital Medicine","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"Wellcome Trust","keywords":"License; Coronavirus disease 2019 (COVID-19); Social distance; Big data; Corporate governance; Public relations; Political science; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Medicine; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.1576438,0.0005303184,0.0009037835,0.003227267,0.009063136,0.02331343,0.003759753,0.01354297,0.008191008],"category_scores_gemma":[0.312692,0.0008588294,0.001456888,0.003580821,0.03834999,0.03164052,0.02429044,0.02124561,0.002185611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005664424,"about_ca_system_score_gemma":0.02563119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01331185,"about_ca_topic_score_gemma":0.01154296,"domain_scores_codex":[0.876138,0.07807688,0.007936479,0.008005242,0.02419508,0.005648368],"domain_scores_gemma":[0.5709065,0.27491,0.01516837,0.09834326,0.02905919,0.01161278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005295237,0.00005909011,0.005891191,0.0001330319,0.00004089034,0.0002950153,0.01159912,0.0003228256,0.0003941285,0.8855382,0.06344772,0.0322257],"study_design_scores_gemma":[0.00005299208,0.00007239747,0.003604963,0.0009902198,0.00002410304,0.0003756413,0.007161645,0.001359848,0.0008687232,0.3947276,0.5906364,0.0001255585],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01971517,0.001897503,0.07886589,0.702104,0.003301892,0.0006084126,0.0006824098,0.000501473,0.1923233],"genre_scores_gemma":[0.6229172,0.002316769,0.04679382,0.2798193,0.00495859,0.00208958,0.00085726,0.0007268245,0.03952069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9909369,"threshold_uncertainty_score":0.8337099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4289164045512512,"score_gpt":0.3784350431428148,"score_spread":0.0504813614084364,"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."}}