{"id":"W2980007581","doi":"10.3390/ijerph16203847","title":"Disruptive Technologies for Environment and Health Research: An Overview of Artificial Intelligence, Blockchain, and Internet of Things","year":2019,"lang":"en","type":"review","venue":"International Journal of Environmental Research and Public Health","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; University Health Network; University of Toronto; University of Waterloo","funders":"Health Canada","keywords":"Emerging technologies; Data science; The Internet; Computer science; Field (mathematics); Population; Knowledge management; World Wide Web; Artificial intelligence; Medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001543339,0.0009525856,0.001027342,0.004698832,0.0006773169,0.00203213,0.0008031076,0.002168975,0.002595],"category_scores_gemma":[0.001900348,0.000441013,0.0006742641,0.006882943,0.001250733,0.003447406,0.0008974596,0.002493891,0.0009927872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002219751,"about_ca_system_score_gemma":0.004041211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005858533,"about_ca_topic_score_gemma":0.006859904,"domain_scores_codex":[0.9991837,0.0002278161,0.0001092602,0.0001018127,0.0003056758,0.00007174125],"domain_scores_gemma":[0.9974063,0.001999556,0.0001395876,0.00006360841,0.0003176537,0.00007324929],"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":[0.0000424146,0.00009744168,0.0003649026,0.03577842,0.0001022556,0.0002778854,0.0004539113,0.001593205,0.001007865,0.1003334,0.02591593,0.8340324],"study_design_scores_gemma":[0.000004577163,0.00006814996,0.0005187422,0.009399852,0.00005619742,0.0005777199,0.0002069985,0.0002899652,0.000293568,0.01417494,0.9743811,0.00002814842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001079774,0.9946379,0.0008322835,0.0006873795,0.0002771456,0.00001241475,0.00001365751,0.000009087315,0.003422101],"genre_scores_gemma":[0.001223083,0.9970373,0.0006680571,0.000302875,0.0002577871,0.00001427816,0.00001774949,0.000002668894,0.0004762567],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005858533,"threshold_uncertainty_score":0.01610547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6241562300306821,"score_gpt":0.531935599224866,"score_spread":0.0922206308058161,"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."}}