{"id":"W1982890084","doi":"10.1109/bwcca.2011.59","title":"A Survey on Home Telemedicine","year":2011,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Telemedicine; The Internet; Mobile device; Work (physics); Computer science; Health care; Internet privacy; Telecommunications; Population; Home health; Multimedia; World Wide Web; Business; Medicine; Engineering; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.0004421219,0.00007152832,0.00008873169,0.00006735839,0.00005463172,0.00002344787,0.0004984206,0.0000238643,0.00002709954],"category_scores_gemma":[0.0000328743,0.00005209456,0.00002092183,0.000240092,0.00001603857,0.00009058626,0.0001420704,0.00007220879,0.000383541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009475007,"about_ca_system_score_gemma":0.0000195329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003971107,"about_ca_topic_score_gemma":0.00001235823,"domain_scores_codex":[0.9993143,0.00004028764,0.0001105138,0.0001958596,0.0001328475,0.0002061858],"domain_scores_gemma":[0.9994586,0.00008221076,0.00002457303,0.00032836,0.00003934649,0.00006697459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002786097,0.0003150412,0.156791,0.00001219403,0.00003543984,0.0000975478,0.004980634,0.000001706795,0.0001212716,0.0272205,0.4233606,0.3870362],"study_design_scores_gemma":[0.0002670684,0.0002634569,0.9838985,0.00001259274,0.00000106313,0.000004921793,0.000003832752,0.007377414,0.0008492519,0.001653504,0.005499583,0.0001688799],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2295226,0.00004578848,0.5243772,0.0004066032,0.01668149,0.0001486956,1.292551e-7,0.0006349424,0.2281826],"genre_scores_gemma":[0.9825231,0.000001616051,0.01387279,0.00116775,0.0007398992,0.000001255369,0.000001396655,0.000006105382,0.001686023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8271074,"threshold_uncertainty_score":0.4929772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07268958162930128,"score_gpt":0.2516596315331752,"score_spread":0.1789700499038739,"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."}}