{"id":"W3126358682","doi":"10.1007/s10676-020-09572-w","title":"Give more data, awareness and control to individual citizens, and they will help COVID-19 containment","year":2021,"lang":"en","type":"article","venue":"CINECA IRIS Institutial research information system (University of Pisa)","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Università di Pisa; European Commission","keywords":"Coronavirus disease 2019 (COVID-19); Containment (computer programming); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Control (management); Internet privacy; Computer science; Sociology; Political science; Outbreak; Virology; Medicine; Artificial intelligence","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":[0.005430383,0.001307606,0.001055284,0.002100392,0.002027913,0.008634671,0.004010709,0.008227459,0.09449645],"category_scores_gemma":[0.03956367,0.0007642708,0.001897031,0.001900358,0.001803711,0.02379352,0.006314564,0.006949444,0.08240677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002100333,"about_ca_system_score_gemma":0.005636291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01549095,"about_ca_topic_score_gemma":0.02027474,"domain_scores_codex":[0.9933785,0.0018698,0.0003878908,0.001292245,0.00237271,0.0006988459],"domain_scores_gemma":[0.959694,0.007995344,0.001973884,0.007769192,0.01720286,0.005364647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001046346,0.0001890207,0.002875172,0.001130673,0.00007369905,0.000142669,0.0005087732,0.0005337863,0.002856148,0.02044931,0.665158,0.3059781],"study_design_scores_gemma":[0.00003728454,0.00003802618,0.001087922,0.0006854312,0.00004586444,0.0001289432,0.0007353232,0.00135405,0.001194434,0.0151185,0.9795049,0.00006943403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006726,0.0256409,0.1914731,0.5220289,0.03102419,0.001518017,0.0141641,0.01396484,0.1934599],"genre_scores_gemma":[0.1027978,0.05343563,0.2663332,0.236841,0.01801272,0.001495166,0.02240354,0.003793286,0.2948875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09449645,"threshold_uncertainty_score":0.3161222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066555798300357,"score_gpt":0.3466930835317926,"score_spread":0.2400375037017569,"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."}}