{"id":"W3090148937","doi":"10.5383/juspn.14.01.001","title":"IOT ANALYSIS AND MANAGEMENT SYSTEM FOR IMPROVING WORK PERFORMANCE WITH AN IOT OPEN SOFTWARE IN SMART BUILDINGS","year":2020,"lang":"en","type":"article","venue":"Journal of Ubiquitous Systems and Pervasive Networks","topic":"Wireless Sensor Networks and IoT","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Internet of Things; Work (physics); Computer science; Building automation; Software; Architectural engineering; Embedded system; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009657067,0.0007560332,0.0005169748,0.001330294,0.000432528,0.001097464,0.0007692302,0.0003384781,0.003840726],"category_scores_gemma":[0.002185094,0.0002435803,0.0003385967,0.0007350067,0.0002034196,0.0009940465,0.0009798425,0.0003680366,0.001074372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004770949,"about_ca_system_score_gemma":0.0007889802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001574007,"about_ca_topic_score_gemma":0.001554596,"domain_scores_codex":[0.9994597,0.0001154402,0.00005925216,0.0001112681,0.00019766,0.00005671394],"domain_scores_gemma":[0.9990675,0.0002755505,0.0001017527,0.0001761614,0.0002585991,0.0001205197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00281736,0.00306555,0.05252045,0.0005349359,0.0002877047,0.0006745956,0.001652167,0.05743462,0.1071062,0.007439904,0.02817283,0.7382937],"study_design_scores_gemma":[0.0002709887,0.0006656743,0.04821499,0.0000994826,0.0002795646,0.0002580296,0.0004170016,0.8545054,0.06450839,0.006211825,0.02441804,0.0001507019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.348478,0.0004167072,0.5571266,0.0006110834,0.0002341806,0.001213561,0.002273263,0.07512418,0.01452244],"genre_scores_gemma":[0.8577757,0.0001799506,0.1340072,0.0001726962,0.00007682482,0.0005978147,0.002060567,0.001005135,0.004124038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003840726,"threshold_uncertainty_score":0.0128485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205534536055524,"score_gpt":0.2041765568607515,"score_spread":0.1921212115001962,"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."}}