{"id":"W4251956159","doi":"10.1109/issi47111.2019.9043752","title":"2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI)","year":2019,"lang":"en","type":"article","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Instituto Superior Técnico; Instituto de Telecomunicações; Shanghai Maritime University; Universidade Estadual de Campinas; Università Politecnica delle Marche; Queen's University; Beijing Institute of Technology; Universitatea Transilvania din Brasov; Hong Kong Polytechnic University; Monash University; Indian National Science Academy; U.S. Naval Academy; ISCTE – Instituto Universitário de Lisboa; Dublin City University; Université Abdelmalek Essaadi; Universitatea Tehnică „Gheorghe Asachi” din Iaşi","keywords":"Instrumentation (computer programming); Computer science; Systems engineering; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001672807,0.0007313284,0.0007080255,0.00161498,0.000649613,0.002758324,0.001015811,0.00170951,0.04043539],"category_scores_gemma":[0.0009710232,0.0001987405,0.0007581912,0.001458875,0.0008708191,0.001786295,0.001919244,0.001320226,0.0194822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006261545,"about_ca_system_score_gemma":0.001868449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002177626,"about_ca_topic_score_gemma":0.00183501,"domain_scores_codex":[0.9991768,0.0001038076,0.0000659689,0.0001750492,0.0003493731,0.0001289607],"domain_scores_gemma":[0.9980845,0.0002578315,0.00006253445,0.0002102681,0.001127615,0.0002571543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002094475,0.000250672,0.004181481,0.0007348004,0.00006664652,0.0005095853,0.0001440752,0.002838472,0.03317888,0.03482965,0.2214113,0.7016449],"study_design_scores_gemma":[0.000008165644,0.0001734292,0.0051491,0.000226157,0.00006829249,0.0007231333,0.0002134752,0.01292693,0.01267589,0.01178368,0.9560052,0.00004653379],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03515376,0.08069975,0.3232232,0.01633782,0.08922798,0.0005304225,0.003437151,0.004330396,0.4470595],"genre_scores_gemma":[0.1804684,0.04943954,0.09189265,0.004385083,0.01240919,0.0003024856,0.009483521,0.0005837139,0.6510354],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9595646,"threshold_uncertainty_score":0.1352699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698810224637151,"score_gpt":0.2746816198861227,"score_spread":0.2476935176397512,"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."}}