{"id":"W4403905813","doi":"10.59934/jaiea.v4i1.643","title":"Prototype Design IoT Based Air Quality Monitoring Tool for Urban Environment","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Internet of Things; Systems engineering; Air quality index; Architectural engineering; Embedded system; Engineering; Geography; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003510892,0.0006326782,0.0005460472,0.0006108746,0.0003454827,0.0006048512,0.001755583,0.0009630531,0.009028053],"category_scores_gemma":[0.0006156968,0.0003346303,0.0005329644,0.0003467261,0.0001934687,0.0009212905,0.0006333834,0.000354113,0.002004677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001751651,"about_ca_system_score_gemma":0.0003550698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005663453,"about_ca_topic_score_gemma":0.0006064479,"domain_scores_codex":[0.9995822,0.00005448323,0.00003172791,0.000088354,0.0001930456,0.00005019781],"domain_scores_gemma":[0.9996789,0.0000732941,0.00002365001,0.00005093865,0.0001402992,0.00003302588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001092821,0.0008909117,0.01027571,0.002754838,0.0001238551,0.003649127,0.001089747,0.006025661,0.5485622,0.007630142,0.03002332,0.3878817],"study_design_scores_gemma":[0.0009415717,0.005348891,0.04095519,0.0006118746,0.0004996943,0.009254645,0.0009365003,0.148853,0.4430684,0.00397104,0.345212,0.0003472044],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1714233,0.001305009,0.7522597,0.001095738,0.0008228446,0.002890522,0.002248241,0.02506642,0.04288815],"genre_scores_gemma":[0.6121064,0.0008219366,0.3403723,0.0007854427,0.0001210721,0.002314794,0.001437433,0.0004655911,0.04157498],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009028053,"threshold_uncertainty_score":0.03020185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07513499784751586,"score_gpt":0.3103772467975048,"score_spread":0.2352422489499889,"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."}}