{"id":"W1967081616","doi":"10.1145/1659753.1659755","title":"A semantic approach for building pervasive spaces","year":2009,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Energy Research and Development; National Science Foundation","keywords":"Computer science; Semantics (computer science); Middleware (distributed applications); Ubiquitous computing; Abstraction; Set (abstract data type); Architecture; Realization (probability); Distributed computing; Programming language; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00337595,0.0009162814,0.0006405867,0.002310114,0.002744146,0.006870673,0.003025809,0.002534106,0.00425023],"category_scores_gemma":[0.004026201,0.0008966825,0.002359509,0.00222831,0.008788288,0.01439124,0.005489092,0.003844203,0.001183617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002248392,"about_ca_system_score_gemma":0.002768595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004099481,"about_ca_topic_score_gemma":0.004089743,"domain_scores_codex":[0.9973052,0.0009876139,0.0002693707,0.0004627708,0.0007511817,0.0002239257],"domain_scores_gemma":[0.9982551,0.0005030261,0.0001198107,0.000619741,0.0003152623,0.0001870243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005924394,0.000008703414,0.00005928269,0.00003937495,0.000007841507,0.00005161505,0.0004523711,0.002246515,0.000304322,0.9906552,0.0007396201,0.00542916],"study_design_scores_gemma":[0.00001314258,0.00001868857,0.00007665938,0.00007570892,0.0000255144,0.000190597,0.0005400682,0.01779984,0.001060313,0.8671691,0.1130081,0.0000221873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002180221,0.0005902611,0.9739028,0.001779447,0.000142385,0.0001006259,0.00008467701,0.0004469518,0.02077267],"genre_scores_gemma":[0.1238166,0.001488759,0.8609546,0.0007175089,0.0002359932,0.0004300548,0.0003253127,0.0002568598,0.01177427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006870673,"threshold_uncertainty_score":0.01785392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03836698952068022,"score_gpt":0.2879347099324011,"score_spread":0.2495677204117209,"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."}}