{"id":"W2803741996","doi":"10.3390/atmos9050191","title":"Multi-Year Continuous PM2.5 Measurements with the Federal Equivalent Method SHARP 5030 and Comparisons to Filter-Based and TEOM Measurements in Ontario, Canada","year":2018,"lang":"en","type":"article","venue":"Atmosphere","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Ministry of the Environment, Conservation and Parks","funders":"Environment and Climate Change Canada","keywords":"Particulates; Statistics; Environmental science; Mathematics; Atmospheric sciences; Meteorology; Geography; Physics; Biology; Ecology","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":[0.0009463049,0.0005509584,0.0004445818,0.00183967,0.002384667,0.001114944,0.001345833,0.0003528733,0.001042541],"category_scores_gemma":[0.001189278,0.0004362167,0.0004732474,0.003620466,0.0005989864,0.0004768899,0.0007081088,0.0003927237,0.0002090666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02478865,"about_ca_system_score_gemma":0.02560483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970554,"about_ca_topic_score_gemma":0.9985051,"domain_scores_codex":[0.998664,0.00004653604,0.00006060646,0.0002654204,0.0007744838,0.0001888825],"domain_scores_gemma":[0.9978042,0.00006359987,0.00019766,0.00004656906,0.001740454,0.0001474355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000480465,0.0001210504,0.9322039,0.0002855529,0.000201188,0.0005419297,0.003469063,0.002238486,0.01277558,0.0004250863,0.005184571,0.0420731],"study_design_scores_gemma":[0.000006764483,0.00002145554,0.9956856,0.00001606159,0.000021156,0.00002920495,0.0004744732,0.001031247,0.000445044,0.00001594874,0.002236916,0.00001614252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761035,0.00140548,0.001965558,0.0003097308,0.00003942704,0.00009908337,0.009088267,0.00008840436,0.0109006],"genre_scores_gemma":[0.9895264,0.0006300741,0.001670965,0.00009762478,0.00001071303,0.00003152555,0.00395125,0.00002356327,0.004057796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02478865,"threshold_uncertainty_score":0.179855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038985894689853,"score_gpt":0.3113447466911404,"score_spread":0.2074461572221551,"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."}}