{"id":"W4229377095","doi":"10.3390/su14095666","title":"Mitigation of Greenhouse Gas Emissions from Agricultural Fields through Bioresource Management","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Prince Edward Island","funders":"","keywords":"Greenhouse gas; Environmental science; Growing season; Carbon dioxide; Carbon sequestration; Soil carbon; Nitrous oxide; Agronomy; Biochar; Fertilizer; Agriculture; Randomized block design; Water content; Soil water; Chemistry; Soil science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003469609,0.0004592556,0.0003891849,0.0004682856,0.0002755735,0.0006675355,0.0003878311,0.00031751,0.0006374968],"category_scores_gemma":[0.0001670171,0.0001140823,0.0002955759,0.000476661,0.0002537097,0.0003890848,0.0002849164,0.0002526685,0.0001738333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006481778,"about_ca_system_score_gemma":0.0006096645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003505245,"about_ca_topic_score_gemma":0.01139903,"domain_scores_codex":[0.9997882,0.00003066056,0.00001679264,0.00005365748,0.0000685074,0.00004219157],"domain_scores_gemma":[0.999853,0.00001905717,0.00004999853,0.00001288118,0.00004291739,0.00002221157],"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":[0.0001992653,0.0001975798,0.00640358,0.0002364031,0.00002899745,0.00006697211,0.00002859267,0.001214236,0.9733316,0.00007560429,0.00003764283,0.01817948],"study_design_scores_gemma":[0.00006817819,0.003922305,0.1539875,0.00008189485,0.0001761811,0.0002087508,0.0006319511,0.003855212,0.8277508,0.0005162111,0.008756157,0.00004493043],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957446,0.001345459,0.001773488,0.00005463373,0.00001413489,0.00003335062,0.0001126156,0.00002919095,0.0008925038],"genre_scores_gemma":[0.9917823,0.001810294,0.005048357,0.00005116287,0.000009050284,0.00005195939,0.000271204,0.00000846441,0.0009671929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003505245,"threshold_uncertainty_score":0.00696969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00847435122122705,"score_gpt":0.2188269821439354,"score_spread":0.2103526309227083,"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."}}