{"id":"W3041903859","doi":"10.1007/s11356-020-09679-z","title":"Characteristics of methane emissions in the Living Water Garden in Chengdu City from 2012 to 2017","year":2020,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"State Key Laboratory of Hydraulics and Mountain River Engineering; Chengdu Science and Technology Bureau; Department of Science and Technology of Sichuan Province; National Natural Science Foundation of China","keywords":"Flux (metallurgy); Environmental science; Gas analyzer; Animal science; Methane; Atmospheric sciences; Chemistry; Environmental chemistry; Physics; Biology","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":[0.0001286399,0.0002898221,0.0001983196,0.001239137,0.0003507536,0.0003925951,0.0003605766,0.0002891471,0.000793269],"category_scores_gemma":[0.0002394185,0.0001748987,0.0004898375,0.00178351,0.0001625235,0.0003217631,0.0005539726,0.0001914101,0.0001522641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008980976,"about_ca_system_score_gemma":0.0005903443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1070277,"about_ca_topic_score_gemma":0.1808657,"domain_scores_codex":[0.9998351,0.00001057122,0.00002067736,0.00003886296,0.0000345806,0.00006023635],"domain_scores_gemma":[0.9997414,0.00002034998,0.0001033115,0.000009852928,0.00007083509,0.00005434322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001310501,0.0000205766,0.9938367,0.00003661787,0.00006600362,0.0003093535,0.000351126,0.0004535515,0.001673978,0.00003959283,0.0004642737,0.002617112],"study_design_scores_gemma":[0.00000105189,0.00001169238,0.9985428,0.000003718778,0.00001292922,0.00005194544,0.0004547771,0.0002831813,0.0001902531,0.000007161771,0.0004361939,0.000004278455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965005,0.00008437918,0.00005069077,0.00002308775,0.000004710014,0.000004545861,0.002989719,0.000007038578,0.0003353001],"genre_scores_gemma":[0.9952395,0.00008744885,0.00005253102,0.00001463276,0.000006448797,0.00001296382,0.003877938,0.000002785269,0.0007057768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1070277,"threshold_uncertainty_score":0.2128096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1044994531994549,"score_gpt":0.345973489630692,"score_spread":0.2414740364312372,"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."}}