{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001997054,0.0001598389,0.0003464579,0.0005479518,0.000797667,0.0004875359,0.00122252,0.0001039064,0.000009147906],"category_scores_gemma":[0.001308203,0.0001836257,0.00003776549,0.0006044513,0.0002432554,0.005341055,0.002368982,0.0002288416,0.00002802427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004901262,"about_ca_system_score_gemma":0.001927587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002028575,"about_ca_topic_score_gemma":0.0005082294,"domain_scores_codex":[0.9974165,0.0002561883,0.0003182558,0.0004332818,0.001186925,0.0003888802],"domain_scores_gemma":[0.9970627,0.0005561673,0.0001575793,0.0008755346,0.0007304868,0.0006175328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002277599,0.0003433326,0.07717468,0.01365654,0.001278436,0.002495715,0.2263218,0.006856937,0.00265555,0.5183761,0.0242647,0.1242986],"study_design_scores_gemma":[0.02655396,0.001374509,0.09468879,0.002338605,0.0001797736,0.0007554261,0.2321974,0.1804906,0.0007468676,0.0005580145,0.4580114,0.002104754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1388502,0.000101403,0.8498311,0.007453525,0.0001702075,0.0009177205,0.0007385728,0.0001245312,0.001812737],"genre_scores_gemma":[0.997538,0.00002046649,0.001586365,0.0006887236,0.00002938911,0.000002476844,0.00008862697,0.000003936759,0.00004207256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8586877,"threshold_uncertainty_score":0.7488039,"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."}}