{"id":"W4415582047","doi":"10.1093/eurpub/ckaf161.1307","title":"A low-cost approach to ambient fine particulate matter monitoring - the case of Grenada","year":2025,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Particulates; Air quality index; Multivariate statistics; Baseline (sea); Storm; Volcano; Air pollution; Bayesian multivariate linear regression","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":[0.001403986,0.0005376352,0.0003254305,0.002649705,0.0008046075,0.002246802,0.001424389,0.001274074,0.001443671],"category_scores_gemma":[0.003009293,0.0002143391,0.0004844948,0.002427141,0.0006932387,0.001398034,0.001325659,0.0009840046,0.0002701678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002896028,"about_ca_system_score_gemma":0.002152059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2151612,"about_ca_topic_score_gemma":0.3029677,"domain_scores_codex":[0.9987901,0.0006146589,0.00006557987,0.0001462135,0.0002103583,0.0001730261],"domain_scores_gemma":[0.9986247,0.0004218463,0.0001897465,0.0001849982,0.0004657505,0.0001130662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003451029,0.0003500534,0.6003783,0.001195651,0.0003263112,0.02195218,0.004614848,0.04075811,0.01049707,0.02748047,0.01423687,0.2778651],"study_design_scores_gemma":[0.00009996364,0.0004686917,0.6841926,0.001382243,0.00031742,0.004846476,0.0428033,0.1058263,0.006560776,0.02040414,0.1328263,0.0002717965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.850129,0.005995447,0.0374783,0.02230153,0.0004851084,0.000908191,0.003706939,0.0003195573,0.07867593],"genre_scores_gemma":[0.9560339,0.002169538,0.03674763,0.0004790081,0.00007941278,0.0001648643,0.0004498523,0.0000307246,0.00384491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2151612,"threshold_uncertainty_score":0.4278178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06834821722359066,"score_gpt":0.3016766685173657,"score_spread":0.233328451293775,"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."}}