{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004940814,0.0003917183,0.000215735,0.0005314501,0.0003384828,0.0008071786,0.0004678369,0.0004078494,0.005553684],"category_scores_gemma":[0.001077784,0.0001708914,0.0003097937,0.000417353,0.0003139024,0.001056869,0.001597063,0.0003119406,0.0005293185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001869458,"about_ca_system_score_gemma":0.0001972427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008316439,"about_ca_topic_score_gemma":0.002688373,"domain_scores_codex":[0.9997583,0.00008554794,0.000008080316,0.00003563558,0.00006574218,0.00004658023],"domain_scores_gemma":[0.9995669,0.0002068093,0.00004579864,0.00007058457,0.00004266685,0.0000673871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001445848,0.000624795,0.06879772,0.002473409,0.0001890543,0.001805119,0.03006282,0.004230055,0.3133349,0.0133201,0.01977816,0.5439381],"study_design_scores_gemma":[0.0004873164,0.00720187,0.4025952,0.001162579,0.0004333091,0.007175747,0.02360852,0.04377058,0.1085644,0.01110031,0.3933937,0.0005066984],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8777305,0.001492786,0.09203546,0.0005549532,0.00009443003,0.0004084329,0.001528849,0.002727663,0.02342684],"genre_scores_gemma":[0.9256719,0.0003765248,0.06668553,0.0001857214,0.00004852928,0.0003676851,0.0004798996,0.0001574908,0.006026814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005553684,"threshold_uncertainty_score":0.01857895,"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."}}