{"id":"W2078099242","doi":"10.5539/nct.v1n1p79","title":"A Complete Interoperable eHealth System Based on ZigBee Pro Standard","year":2012,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Interoperability; Telemedicine; Computer science; Wireless sensor network; Software; Set (abstract data type); World Wide Web; Telecommunications; Computer network; Health care; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008520267,0.0001556913,0.0002643857,0.0001211763,0.0004334884,0.000171223,0.001106949,0.000124293,0.000002678938],"category_scores_gemma":[0.00005480443,0.0001347815,0.00003287503,0.0004121935,0.0001197788,0.0004277808,0.0005691171,0.0003183039,0.0000359827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312058,"about_ca_system_score_gemma":0.00003668342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003300588,"about_ca_topic_score_gemma":0.00002285201,"domain_scores_codex":[0.99863,0.0002944698,0.0002806519,0.0002309431,0.0002059476,0.0003580185],"domain_scores_gemma":[0.9977311,0.0003459584,0.0001899851,0.00157171,0.0001082471,0.00005292276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000550497,0.0001237964,0.009979513,0.000134772,0.00003396278,0.000001077016,0.0005367787,0.0001391151,0.0000650424,0.1316853,0.006240856,0.8510047],"study_design_scores_gemma":[0.003463471,0.001972952,0.007164666,0.004320636,0.00005153816,0.0001666372,0.007624143,0.3410003,0.002188837,0.007477731,0.6226482,0.001920965],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02097955,0.0160309,0.9170695,0.0160051,0.0007692859,0.00181733,0.00002854694,0.009510473,0.01778931],"genre_scores_gemma":[0.9819397,0.0002180634,0.01736593,0.0002339857,0.00002719444,0.0001742921,0.000007374275,0.00001005973,0.00002345257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9609601,"threshold_uncertainty_score":0.5496232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04061867395072753,"score_gpt":0.2648189621668866,"score_spread":0.2242002882161591,"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."}}