{"id":"W4230176027","doi":"10.1109/mprv.2015.21","title":"UbiComp 2014","year":2015,"lang":"en","type":"article","venue":"IEEE Pervasive Computing","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Ubiquitous computing; Context-aware pervasive systems; Computer science; Wearable computer; Variety (cybernetics); Human–computer interaction; Smart environment; Wearable technology; World Wide Web; Ubiquitous robot; Internet of Things; Embedded system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001014087,0.001538785,0.001082663,0.001208219,0.001781214,0.003680661,0.001835602,0.001591727,0.2155263],"category_scores_gemma":[0.00176691,0.0006321601,0.0003661903,0.001423699,0.0004129617,0.003086858,0.001924603,0.002116585,0.1949226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026994,"about_ca_system_score_gemma":0.001575372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006133722,"about_ca_topic_score_gemma":0.02012801,"domain_scores_codex":[0.9991494,0.0001022169,0.00004272076,0.0001595634,0.0004314944,0.0001144565],"domain_scores_gemma":[0.9990024,0.00006706062,0.0000268864,0.0002347296,0.0004333488,0.0002355964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001978262,0.0001389287,0.0002258977,0.0001038522,0.0000124778,0.0001312528,0.00003933736,0.0003205872,0.001670534,0.003116686,0.8737603,0.1202822],"study_design_scores_gemma":[0.00003328502,0.00004343907,0.0006502467,0.00006396905,0.000008627187,0.0002509776,0.00008162703,0.002869185,0.001605276,0.004104062,0.9902564,0.00003293394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0142826,0.01464721,0.1253982,0.008145259,0.01378543,0.001212333,0.0303701,0.0575658,0.734593],"genre_scores_gemma":[0.01775193,0.00601446,0.02647338,0.002018373,0.0008833969,0.0003133951,0.04038805,0.003467213,0.9026898],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7844737,"threshold_uncertainty_score":0.7210073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05058841630956252,"score_gpt":0.27566538439444,"score_spread":0.2250769680848775,"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."}}