{"id":"W4416193414","doi":"10.1145/3773073","title":"MobileMuseum: Smart, Portable, and Borrowable Museum Displays to Explore Interaction Patterns and Public Engagement","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Council of Professional Engineers; Queen's University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Foundation for Innovation","keywords":"User engagement; Public engagement; Software deployment; Recreation; Social relation; Field (mathematics); Qualitative research; Citizen science; Social engagement","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003343348,0.0003157293,0.0003080222,0.0005521803,0.0004062096,0.0006145303,0.001445569,0.00007657029,0.00002136923],"category_scores_gemma":[0.0001999611,0.0002569086,0.0001155134,0.0004039192,0.0000452599,0.002235267,0.002344141,0.0004532125,0.00001079365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667151,"about_ca_system_score_gemma":0.00002124941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001574463,"about_ca_topic_score_gemma":0.00001866555,"domain_scores_codex":[0.998073,0.00003895725,0.0004776929,0.0007418418,0.0002975067,0.0003710481],"domain_scores_gemma":[0.998372,0.0001678944,0.0003542952,0.000590114,0.0004067014,0.0001089486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006732529,0.002378122,0.1170674,0.001576086,0.001198433,0.00001193718,0.02769507,0.0002301232,0.4673122,0.1383103,0.1877024,0.05584467],"study_design_scores_gemma":[0.003052995,0.002929535,0.3739801,0.004793549,0.0002430937,0.0001595936,0.01288235,0.03160805,0.4975244,0.01082261,0.06010759,0.001896173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758335,0.000016452,0.01225794,0.006756378,0.001889933,0.0006011798,0.000004562074,0.00005653361,0.002583468],"genre_scores_gemma":[0.9959459,0.00002566131,0.001616109,0.001846102,0.0001190036,0.0001031651,0.000004520658,0.00001840755,0.0003211845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2569127,"threshold_uncertainty_score":0.9999883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0667806946601158,"score_gpt":0.3280940826672641,"score_spread":0.2613133880071483,"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."}}