{"id":"W3117750865","doi":"10.3390/s21010050","title":"An Interoperable Architecture for the Internet of COVID-19 Things (IoCT) Using Open Geospatial Standards—Case Study: Workplace Reopening","year":2020,"lang":"en","type":"article","venue":"Sensors","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Interoperability; Geospatial analysis; Computer science; World Wide Web; Reuse; Computer security; Data science; Engineering","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":[0.0004061366,0.0001637533,0.0002492847,0.00005644459,0.0001514462,0.0001518571,0.0005794435,0.0000766364,0.00005561191],"category_scores_gemma":[0.0004340848,0.0001207099,0.00004963027,0.0002264976,0.00006169468,0.0001543496,0.0001916083,0.0002388158,9.787528e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009281654,"about_ca_system_score_gemma":0.00005804266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053709,"about_ca_topic_score_gemma":0.0003771035,"domain_scores_codex":[0.9990652,0.00006634751,0.0002765779,0.0002223012,0.0001660151,0.0002035525],"domain_scores_gemma":[0.9993616,0.0001417028,0.00004824302,0.000281388,0.00008165552,0.00008544217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002282043,0.00002172012,0.0006348242,0.0001353735,0.0001151611,0.0001232695,0.0459766,0.9461859,0.0007785445,0.0001038008,0.001319483,0.004377074],"study_design_scores_gemma":[0.001172724,0.0003920438,0.000006076717,0.00004385942,0.00006695407,0.000100924,0.04991953,0.9237037,0.01280561,0.0000696519,0.01147397,0.0002449863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6593505,0.0000602202,0.3388628,0.0003774914,0.0001234686,0.0008439985,0.00003484895,0.0002676625,0.00007897806],"genre_scores_gemma":[0.9952893,0.000004956844,0.004153349,0.0004007021,0.0000517499,0.00001907111,0.000005070599,0.00004304654,0.00003280645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3359387,"threshold_uncertainty_score":0.4922408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03793967303771522,"score_gpt":0.3125855738904537,"score_spread":0.2746459008527384,"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."}}