{"id":"W3196968080","doi":"","title":"Establishment of ambient air quality trends using historical monitoring data from Edmonton and Fort McKay, Alberta","year":2006,"lang":"en","type":"article","venue":"","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Suncor Energy (Canada); University of Alberta","funders":"","keywords":"Air quality index; Data quality; History; Geography; Meteorology; Engineering; Operations management","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008627718,0.0003566679,0.0002772834,0.003402077,0.001166686,0.0009765904,0.0009385027,0.000235641,0.0008433549],"category_scores_gemma":[0.001377117,0.000272138,0.0002250708,0.005635425,0.0002835801,0.0003293071,0.0004909956,0.0003432732,0.000242599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007775439,"about_ca_system_score_gemma":0.00907514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9811984,"about_ca_topic_score_gemma":0.9924203,"domain_scores_codex":[0.9994696,0.0000399587,0.00003322336,0.000100905,0.000239642,0.0001167536],"domain_scores_gemma":[0.9982477,0.0001049428,0.0001368984,0.00007316539,0.001310468,0.0001268667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001239533,0.00005812619,0.9697207,0.00004189748,0.00004942255,0.000140372,0.0007467616,0.001349983,0.001048451,0.0002011827,0.002190589,0.0243285],"study_design_scores_gemma":[0.000004710857,0.00001438485,0.9956139,0.00001197426,0.00001702966,0.00002408712,0.0006236113,0.001096986,0.0003178419,0.00001413379,0.002255287,0.000006048901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818298,0.0003879066,0.001072641,0.00007251539,0.00001153202,0.00008281912,0.01022904,0.00005093504,0.006262746],"genre_scores_gemma":[0.9777517,0.0004414241,0.003835415,0.0000320053,0.000007776457,0.00006550979,0.01271049,0.00001875127,0.005136909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01880157,"threshold_uncertainty_score":0.05641502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1331251130404371,"score_gpt":0.3623470774536025,"score_spread":0.2292219644131653,"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."}}