{"id":"W4408285394","doi":"10.1039/d4ea00140k","title":"Utility of low-cost sensor measurement for predicting ambient PM<sub>2.5</sub> concentrations: evidence from a monitoring network in Accra, Ghana","year":2025,"lang":"en","type":"article","venue":"Environmental Science Atmospheres","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control","funders":"National Institute of Environmental Health Sciences","keywords":"Particulates; Environmental science; Air pollution; Pollutant; Air pollutants; Pollution; Air monitoring; Environmental health; Environmental monitoring; Environmental engineering; Environmental protection; Ecology; Medicine","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":[0.0009231986,0.0003401434,0.000291073,0.0003330733,0.0004808112,0.0006272837,0.0006709808,0.0006032409,0.0007700135],"category_scores_gemma":[0.005457947,0.0001889293,0.0001682198,0.0008357299,0.0005489204,0.0008171343,0.0004044204,0.0003865252,0.0003015303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061576,"about_ca_system_score_gemma":0.0005480525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09801766,"about_ca_topic_score_gemma":0.1196687,"domain_scores_codex":[0.9992924,0.000311047,0.00004362958,0.0001203578,0.0001615312,0.00007105275],"domain_scores_gemma":[0.9963769,0.001627762,0.0008560237,0.0001725062,0.0008534333,0.0001133751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003938319,0.0001402356,0.9651121,0.0001836071,0.00007098057,0.0003259646,0.0009996108,0.002194021,0.003252099,0.0001981874,0.0006415521,0.02648785],"study_design_scores_gemma":[0.00004531721,0.0003810085,0.9828076,0.00007536128,0.00008796707,0.0002608303,0.003119612,0.0092555,0.001772996,0.0002615511,0.001918319,0.00001381211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963643,0.0003114608,0.0008915713,0.0003498923,0.000009775787,0.00004054711,0.0005688387,0.00001839306,0.001445276],"genre_scores_gemma":[0.9976149,0.0002707924,0.001449741,0.0000391563,0.000007884307,0.00002402094,0.0003024442,0.000003918519,0.0002872277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09801766,"threshold_uncertainty_score":0.1948943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03658256416488831,"score_gpt":0.2667639292748804,"score_spread":0.230181365109992,"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."}}