{"id":"W3143571571","doi":"10.18280/ijsse.110114","title":"An Integrated System for Smart Industrial Monitoring System in the Context of Hazards Based on the Internet of Things","year":2021,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carelessness; Computer security; Context (archaeology); Computer science; Task (project management); Internet of Things; Risk analysis (engineering); The Internet; Internet privacy; Business; Engineering; Systems engineering; World Wide Web; Geology","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":[0.000591782,0.0006855459,0.0007745753,0.0007743587,0.0006421862,0.0009738707,0.001294071,0.0008732679,0.005988054],"category_scores_gemma":[0.0006255864,0.0002162917,0.0003734046,0.0004467466,0.0002217031,0.001320398,0.001054865,0.000592329,0.002113044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003793607,"about_ca_system_score_gemma":0.0005080451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070336,"about_ca_topic_score_gemma":0.001316903,"domain_scores_codex":[0.9992321,0.0001101543,0.00006174434,0.0002201605,0.000276233,0.00009965567],"domain_scores_gemma":[0.9996682,0.00003599206,0.00003507391,0.00005933918,0.0001545534,0.00004687155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002631032,0.001045795,0.02503982,0.00146121,0.0004487535,0.003956474,0.001631086,0.01239605,0.1780138,0.01803098,0.1421543,0.6131907],"study_design_scores_gemma":[0.000582358,0.002747087,0.03147145,0.0003802356,0.0008404058,0.004600999,0.0008130412,0.5443652,0.167335,0.01402227,0.2324249,0.000417073],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1337713,0.002656392,0.7142166,0.002478044,0.002216539,0.001258723,0.001866487,0.06889244,0.07264349],"genre_scores_gemma":[0.925123,0.0005668064,0.05253959,0.001130701,0.0002438746,0.0004768184,0.00124831,0.0002467552,0.01842421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005988054,"threshold_uncertainty_score":0.02003205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159931806407786,"score_gpt":0.2303334504778867,"score_spread":0.2143402698371081,"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."}}