{"id":"W2610744353","doi":"10.1109/get.2016.7916611","title":"Implementation of a WiFi based plug and sense device for dedicated air pollution monitoring using IoT","year":2016,"lang":"en","type":"article","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Cloud computing; Air quality index; Real-time computing; Internet of Things; Air pollution; Pollution; Embedded system; Operating system; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000319562,0.0007959798,0.0006889648,0.0007704752,0.0003340559,0.0007778543,0.001544826,0.0006555505,0.01562202],"category_scores_gemma":[0.000618942,0.0003833241,0.0004952484,0.0002591904,0.0002020905,0.0009582987,0.0008768301,0.000459813,0.003823984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001922711,"about_ca_system_score_gemma":0.0003405357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000584527,"about_ca_topic_score_gemma":0.0005702932,"domain_scores_codex":[0.9994618,0.00005464817,0.00006061174,0.0001234999,0.0002203351,0.00007907311],"domain_scores_gemma":[0.9996928,0.00005469094,0.00003389289,0.00006337747,0.0001169233,0.00003837822],"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":[0.001381278,0.000929963,0.0236236,0.001486515,0.0002630928,0.002752792,0.0009488639,0.005476961,0.2701911,0.01797788,0.08646557,0.5885025],"study_design_scores_gemma":[0.0005604411,0.002780103,0.03119533,0.0003387316,0.0004977807,0.008324411,0.0003972834,0.1336917,0.3998507,0.005929091,0.4159834,0.0004510333],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07436804,0.0006150132,0.816153,0.0008819525,0.0009983567,0.001785046,0.002065772,0.04746779,0.05566505],"genre_scores_gemma":[0.696382,0.0005267704,0.2210138,0.001718993,0.0002732979,0.001712567,0.00257524,0.00106122,0.07473617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01562202,"threshold_uncertainty_score":0.05226088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05678210938492498,"score_gpt":0.3338447011777272,"score_spread":0.2770625917928022,"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."}}