{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001092187,0.0001393433,0.0001618521,0.0000791969,0.0001416434,0.00007598478,0.0001604708,0.00006771702,0.00003077104],"category_scores_gemma":[0.00007883361,0.0001299475,0.00009554101,0.00019045,0.00006154846,0.0001290971,0.00003182097,0.0002006332,0.00003802514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510481,"about_ca_system_score_gemma":0.00002069943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001062013,"about_ca_topic_score_gemma":1.531461e-7,"domain_scores_codex":[0.9987731,0.00002534673,0.0005429752,0.0002139292,0.0002326003,0.0002120246],"domain_scores_gemma":[0.9992774,0.0003427614,0.0001081268,0.0001545317,0.00001909454,0.00009814664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007278953,0.0001174982,0.001156333,0.0001765991,0.00004208988,0.000003485612,0.0005993928,0.6803151,0.04878933,0.001778685,0.0001127719,0.266836],"study_design_scores_gemma":[0.0001153336,0.0009003145,0.004394827,0.0004847375,0.0001524226,0.00003717166,0.0005477274,0.6283311,0.2883835,0.005675614,0.0700929,0.0008843968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05692473,0.0002744618,0.9418107,0.0002477042,0.0002110682,0.0004620014,0.000004811197,0.00005069541,0.00001382051],"genre_scores_gemma":[0.9011756,0.00002983398,0.09796152,0.000008287016,0.0005758289,0.0001891226,0.000001003048,0.00002243017,0.00003644232],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8442508,"threshold_uncertainty_score":0.5299106,"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."}}