{"id":"W2500253026","doi":"","title":"Utilizing TEMPO surface estimates to determine changes in emissions, community exposure and environmental impacts from cement kilns across North America using alternative fuels","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Environmental science; Kiln; Cement; Environmental protection; Environmental impact assessment; Environmental engineering; Waste management; Engineering; Geography; Archaeology; Ecology","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":[0.0002826648,0.0002610155,0.0001488853,0.0007687638,0.0003124162,0.0005093574,0.0002619237,0.000174918,0.0005654837],"category_scores_gemma":[0.0007757738,0.0001521888,0.0002316648,0.001203131,0.0001303818,0.0004097588,0.0004512171,0.0002146283,0.0001338291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006489002,"about_ca_system_score_gemma":0.0005845106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1342108,"about_ca_topic_score_gemma":0.3054413,"domain_scores_codex":[0.9998214,0.00003109679,0.000007803218,0.00004449374,0.00007509554,0.0000202228],"domain_scores_gemma":[0.9996688,0.00004567973,0.00009269198,0.00003001215,0.0001433105,0.00001938678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001044733,0.0001119309,0.9694515,0.00002584643,0.000136551,0.00004032258,0.0004929233,0.004145341,0.00623495,0.000231869,0.00050225,0.01852208],"study_design_scores_gemma":[0.000008370422,0.00005700382,0.9880266,0.000005684392,0.00004574345,0.00002193478,0.0008773558,0.007942968,0.001363499,0.0001495806,0.001494666,0.00000651561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962499,0.00002046289,0.001067261,0.00002416914,0.000002805706,0.00001562209,0.0008524854,0.00001998088,0.001747267],"genre_scores_gemma":[0.9958365,0.00004818572,0.002251808,0.00001149797,0.000002834161,0.00003187957,0.001136978,0.000009346558,0.0006710075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8657892,"threshold_uncertainty_score":0.2668592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06732079532529021,"score_gpt":0.3114249129116687,"score_spread":0.2441041175863785,"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."}}