{"id":"W3001214790","doi":"10.1109/mcg.2020.2965069","title":"Gamification of Crowd-Driven Environment Design","year":2020,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Toronto Rehabilitation Institute; York University; Université de Montréal; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Division of Information and Intelligent Systems; Ontario Research Foundation; National Science Foundation","keywords":"Computer science; Crowdsourcing; USable; Usability; Human–computer interaction; Task (project management); Metric (unit); Creativity; Software engineering; Multimedia; World Wide Web; Systems engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003554378,0.001480685,0.0005365356,0.001072238,0.000722493,0.002175291,0.001618357,0.00107974,0.004809889],"category_scores_gemma":[0.007803614,0.0004449514,0.0007633952,0.0003777211,0.001796995,0.00230681,0.004211906,0.0009710282,0.0004950171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000867685,"about_ca_system_score_gemma":0.0008964164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007930683,"about_ca_topic_score_gemma":0.00141075,"domain_scores_codex":[0.9977899,0.001396869,0.00007339439,0.0002249718,0.0003636567,0.0001512726],"domain_scores_gemma":[0.9973053,0.001702984,0.0001606243,0.0004143343,0.0002006614,0.0002160427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007526539,0.0007218934,0.005028938,0.0009915576,0.0001505193,0.0008763855,0.006028703,0.5557087,0.01484178,0.193437,0.002547024,0.2189149],"study_design_scores_gemma":[0.0001960927,0.0007230195,0.001293892,0.0002735018,0.00008154575,0.0004504258,0.001756042,0.7889386,0.008286649,0.1619841,0.03591667,0.0000995339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1166389,0.0003638919,0.8566433,0.000491438,0.00007098151,0.0004924526,0.000058951,0.0006913909,0.02454881],"genre_scores_gemma":[0.6695196,0.0002142462,0.3254453,0.00007358551,0.00001458759,0.0004057498,0.000070138,0.0000755249,0.004181234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004809889,"threshold_uncertainty_score":0.01879758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297364579939688,"score_gpt":0.2008562586256149,"score_spread":0.177882612826218,"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."}}