{"id":"W2007298320","doi":"10.1109/greencom.2012.55","title":"Smart Signage: A Draggable Cyber-Physical Broadcast/Multicast Media System","year":2012,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Digital signage; Cyber-physical system; Scalability; Multicast; Multimedia; Wireless; Gesture; Implementation; Key (lock); Human–computer interaction; Signage; Computer network; Computer security; Telecommunications; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001738018,0.0001842793,0.0002152538,0.00008227946,0.0001253271,0.0001226893,0.0005910876,0.00004921752,0.00008626833],"category_scores_gemma":[0.00004884287,0.000146709,0.0001291422,0.00025807,0.00004140908,0.001472098,0.0002834504,0.0001653177,0.003518234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008962244,"about_ca_system_score_gemma":0.00002965874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001088408,"about_ca_topic_score_gemma":0.000002401767,"domain_scores_codex":[0.9985396,0.00008488718,0.0001709029,0.0003029805,0.0003065386,0.0005950905],"domain_scores_gemma":[0.9988465,0.0002495635,0.0000620737,0.0004700053,0.0001344979,0.0002373633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003708286,0.001236105,0.002177516,0.00008298333,0.000144109,0.00008289152,0.01371567,0.00001350942,0.1579076,0.7906885,0.02347368,0.01044038],"study_design_scores_gemma":[0.002819858,0.0006516501,0.03756998,0.0003160321,0.0001472058,0.0006518381,0.009403028,0.2253801,0.6501779,0.0005285647,0.06980028,0.002553497],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2130992,0.0001207453,0.5087267,0.0004376976,0.002473175,0.0003712771,0.000009076516,0.0002328678,0.2745293],"genre_scores_gemma":[0.9944633,7.446075e-7,0.00359261,0.0003209414,0.0003615956,0.00001966764,0.00000380493,0.00001243436,0.001224887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7901599,"threshold_uncertainty_score":0.9972576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425575026227746,"score_gpt":0.2484019075790432,"score_spread":0.2341461573167658,"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."}}