{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007235878,0.0003209391,0.0003320961,0.00004317711,0.0003166036,0.00009757844,0.0004616872,0.0000577688,0.00003833979],"category_scores_gemma":[0.000193722,0.0003080701,0.00002919862,0.0001905027,0.0001646423,0.0002493476,0.002396355,0.0002915254,0.00004736014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000644655,"about_ca_system_score_gemma":0.000008140408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08612422,"about_ca_topic_score_gemma":0.05067041,"domain_scores_codex":[0.9977381,0.0003213996,0.0003662665,0.0004318784,0.000496406,0.0006459622],"domain_scores_gemma":[0.9986393,0.0001854639,0.0002223338,0.0004750498,0.000006404236,0.0004714869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004347411,0.0001434987,0.8378217,0.000014567,0.00002171325,0.00002300189,0.02501413,0.1204663,0.01312475,1.253699e-7,0.0001371189,0.003189711],"study_design_scores_gemma":[0.003722486,0.00109758,0.4218804,0.0009704537,0.0001096442,0.00001563749,0.1626637,0.3907974,0.01105616,0.0001286475,0.005450191,0.00210759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983169,0.0002589729,0.00009949174,0.0001467565,0.00008714145,0.0004904218,0.00009236878,0.00003192023,0.0004760272],"genre_scores_gemma":[0.9922796,0.00005328611,0.007210623,0.0002759282,0.00003526052,0.00001499103,0.0000555538,0.00003417574,0.00004060415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4159412,"threshold_uncertainty_score":0.9999371,"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."}}