{"id":"W3029546299","doi":"10.1016/j.envpol.2020.114869","title":"Biochar amendment mitigates greenhouse gases emission and global warming potential in dairy manure based silage corn in boreal climate","year":2020,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Government of Newfoundland and Labrador; Memorial University of Newfoundland","funders":"Department of Fisheries and Land Resources; Atlantic Canada Opportunities Agency; Research and Development Corporation of Newfoundland and Labrador","keywords":"Amendment; Greenhouse gas; Environmental science; Biochar; Manure; Global warming; Emission intensity; Agronomy; Climate change; Environmental engineering; Chemistry; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006987277,0.0001365075,0.0001209136,0.000009992751,0.0000710657,0.00002085317,0.00006954037,0.00008154744,0.00006362781],"category_scores_gemma":[0.000005575798,0.00007288297,0.0000536749,0.0001128719,0.00006992804,0.00008243191,0.00007979215,0.0000861843,0.00001049274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001302281,"about_ca_system_score_gemma":0.000002526846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004022319,"about_ca_topic_score_gemma":0.0002987366,"domain_scores_codex":[0.9990691,0.00006039186,0.0001770464,0.0002841894,0.0001608902,0.0002484077],"domain_scores_gemma":[0.9997843,0.00001110306,0.00005058807,0.0000278277,8.858299e-7,0.0001253211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002190801,0.0001612052,0.3276468,0.00001042645,0.000003525447,0.00006814267,0.00007451037,0.0001308409,0.6596102,0.000009261672,0.00003004959,0.01203604],"study_design_scores_gemma":[0.0006589206,0.0002340429,0.9637873,0.00002939002,0.00001042604,0.000006445242,0.000675784,0.01784016,0.01647381,0.00005052108,0.00004347919,0.0001897271],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979303,0.0002591146,0.000002881885,0.001315358,0.00003335667,0.0001584379,0.0002416737,0.00003109167,0.00002779757],"genre_scores_gemma":[0.9988891,0.0001337922,0.00003848339,0.0006592259,0.00005962879,0.000006192464,0.0002094055,0.00000139948,0.000002727913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6431363,"threshold_uncertainty_score":0.2972081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008552958168177945,"score_gpt":0.1915134326185552,"score_spread":0.1829604744503772,"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."}}