{"id":"W3180881978","doi":"10.1145/3448696.3448726","title":"COVID Dodge: An African-Centric game for promoting COVID-19 Safety Measures","year":2021,"lang":"en","type":"article","venue":"","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Social distance; Coronavirus disease 2019 (COVID-19); Pandemic; Raising (metalworking); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Internet privacy; Public relations; Computer science; Computer security; Political science; Medicine; Virology; Engineering","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":[0.000813031,0.0008711606,0.0002457886,0.0003685946,0.0007481684,0.0007971058,0.0008130067,0.00112217,0.006865608],"category_scores_gemma":[0.002785888,0.0001765466,0.0002926359,0.0001364273,0.0005112313,0.001437697,0.002158745,0.0008183561,0.0007041841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002742742,"about_ca_system_score_gemma":0.0004829487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086301,"about_ca_topic_score_gemma":0.002326926,"domain_scores_codex":[0.9996085,0.0002236309,0.00001746827,0.00003932183,0.00004992218,0.00006120059],"domain_scores_gemma":[0.9990203,0.0006113076,0.0000547038,0.00003696195,0.00006451044,0.0002122074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005876235,0.00959938,0.02614909,0.005884263,0.0002916858,0.005307251,0.03473292,0.03318998,0.158388,0.1202078,0.09362412,0.5067493],"study_design_scores_gemma":[0.001578228,0.008731942,0.02217668,0.00118758,0.0002700618,0.002849357,0.01538596,0.2079579,0.05096191,0.04282202,0.6456479,0.000430467],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5739533,0.0007441345,0.2994319,0.005187955,0.0007268315,0.003388632,0.0009048352,0.003695211,0.1119673],"genre_scores_gemma":[0.7975678,0.0003833706,0.1775463,0.0008205561,0.00003647706,0.001593594,0.0004077166,0.0001049353,0.02153919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006865608,"threshold_uncertainty_score":0.02296782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07472793374474189,"score_gpt":0.3168541550943271,"score_spread":0.2421262213495852,"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."}}