{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001233404,0.0001997676,0.0002526077,0.0001559302,0.0005375883,0.0004357507,0.001702007,0.00007993282,0.0001032824],"category_scores_gemma":[0.002902541,0.000190546,0.00008778586,0.0008389335,0.00007813413,0.000565325,0.0007752685,0.0001780428,0.0000179336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003906522,"about_ca_system_score_gemma":0.002743719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001240769,"about_ca_topic_score_gemma":0.0002108865,"domain_scores_codex":[0.9978212,0.0004015202,0.0003744921,0.0004383292,0.0004313672,0.0005331343],"domain_scores_gemma":[0.9970004,0.0008856585,0.0001151171,0.001172209,0.0003963936,0.0004302374],"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":[0.0000916912,0.0007698428,0.002251437,0.0009067419,0.0001963657,0.0002052413,0.08491097,0.001605098,0.001398121,0.8111854,0.01785276,0.0786263],"study_design_scores_gemma":[0.002032127,0.0002823405,0.0009866602,0.00006648955,0.00002596835,0.0002865858,0.003001157,0.06703743,0.01092155,0.03360731,0.8806331,0.001119343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001604805,0.0002484692,0.9761588,0.01354685,0.000499872,0.0003950805,0.000009680608,0.0007155531,0.006820897],"genre_scores_gemma":[0.7304681,0.00005422185,0.255403,0.01166527,0.0001564363,0.00009222863,0.00003646212,0.0000326363,0.002091624],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8627803,"threshold_uncertainty_score":0.7770239,"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."}}