{"id":"W4413007063","doi":"10.3390/land14081605","title":"Biochar Affects Greenhouse Gas Emissions from Urban Forestry Waste","year":2025,"lang":"en","type":"article","venue":"Land","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biochar; Greenhouse gas; Environmental science; Urban forestry; Environmental protection; Forestry; Carbon sequestration; Charcoal; Waste management; Agroforestry; Environmental engineering; Carbon dioxide; Pyrolysis; Geography; Chemistry; Ecology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000176423,0.0003618775,0.0002243513,0.0001951528,0.0002011504,0.0004282731,0.0001611198,0.0003680903,0.0004653027],"category_scores_gemma":[0.0001605916,0.0001330739,0.0003655404,0.0002193891,0.0002173856,0.0001885066,0.0001750682,0.0002422093,0.0001032795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003478049,"about_ca_system_score_gemma":0.0002130264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004285112,"about_ca_topic_score_gemma":0.007783441,"domain_scores_codex":[0.9998063,0.00003308747,0.00001694914,0.00005413998,0.00004691076,0.00004260883],"domain_scores_gemma":[0.9999101,0.0000229869,0.00002729569,0.000006638738,0.00002313127,0.000009811175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003191665,0.00007107062,0.005351212,0.00006433695,0.00002325898,0.00005792013,0.00002783715,0.001199781,0.990339,0.00003419022,0.00002444362,0.002487794],"study_design_scores_gemma":[0.00000963357,0.0006223508,0.03953856,0.00001071452,0.00004806662,0.00004773807,0.0001355278,0.002534042,0.9563933,0.00005556737,0.0005919283,0.00001253462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993175,0.0001604441,0.0001713711,0.0000073357,0.000003954212,0.00000456203,0.00008748854,0.000005416306,0.0002420024],"genre_scores_gemma":[0.9989813,0.0002009371,0.0003122755,0.00001416548,0.000001479379,0.000006517126,0.000104945,0.000003982749,0.0003745143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004285112,"threshold_uncertainty_score":0.008520365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007928786378513955,"score_gpt":0.2241361722192915,"score_spread":0.2162073858407775,"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."}}