{"id":"W4295539355","doi":"10.1016/j.scitotenv.2022.158688","title":"Quantifying biochar-induced greenhouse gases emission reduction effects in constructed wetlands and its heterogeneity: A multi-level meta-analysis","year":2022,"lang":"en","type":"review","venue":"The Science of The Total Environment","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biochar; Greenhouse gas; Environmental engineering; Constructed wetland; Environmental chemistry; Environmental science; Chemistry; Pyrolysis; Carbon sequestration; Wetland; Pulp and paper industry; Carbon dioxide; Wastewater; 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":[0.001209908,0.000582748,0.001644116,0.0003246843,0.0006392322,0.00005866041,0.001150072,0.0001142979,0.0008654117],"category_scores_gemma":[0.00007276656,0.0003010599,0.001295467,0.001764612,0.001181421,0.0001969103,0.002431446,0.0004034855,0.0000283806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000733486,"about_ca_system_score_gemma":0.00006944373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004468788,"about_ca_topic_score_gemma":0.00003583866,"domain_scores_codex":[0.995753,0.000652588,0.0007620441,0.001072119,0.001232744,0.0005274829],"domain_scores_gemma":[0.9977238,0.0001720627,0.0007531871,0.001185339,0.000003882168,0.0001617582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0001487964,0.002255424,0.001533767,0.003888155,0.06913,0.0001091415,0.003182956,0.03449155,0.1147432,0.00007515766,0.00002394028,0.7704179],"study_design_scores_gemma":[0.005436183,0.001550448,0.0268176,0.002200005,0.8148673,0.003661889,0.001507334,0.01559424,0.1160316,0.0001667311,0.005776915,0.00638977],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5986165,0.3984991,0.000008211587,0.00007775159,0.0002395199,0.002352928,0.0001525525,0.00002763292,0.00002586581],"genre_scores_gemma":[0.5745116,0.4240755,0.0005649875,0.000006147033,0.00001599313,0.0004268147,0.00002767491,0.00005706071,0.0003141657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7640281,"threshold_uncertainty_score":0.9999442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1277409660720027,"score_gpt":0.3078585315475221,"score_spread":0.1801175654755195,"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."}}