{"id":"W3093465252","doi":"10.1007/s12649-020-01276-y","title":"Mitigation of CO2, CH4 and N2O from Acidic Clayey Soil Amended with Fertilizer Pellets Based on Alkaline Organic Residues","year":2020,"lang":"en","type":"article","venue":"Waste and Biomass Valorization","topic":"Landfill Environmental Impact Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Université du Québec en Abitibi-Témiscamingue","funders":"Mitacs; Canada Research Chairs","keywords":"Chemistry; Pellets; Chicken manure; Manure; Nitrogen; Soil conditioner; Fertilizer; Environmental chemistry; Soil pH; Carbon dioxide; Agronomy; Soil water; Environmental science; Soil science","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":[0.00005086798,0.0001469111,0.0001604841,0.00002265194,0.00009367631,0.00002021732,0.00005206583,0.00005372124,0.0002285327],"category_scores_gemma":[0.00002442384,0.000107275,0.00001551486,0.000182892,0.0002266657,0.0001528889,0.00006964851,0.00004221656,0.00001512808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003644033,"about_ca_system_score_gemma":0.000005405584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001286015,"about_ca_topic_score_gemma":0.00006390767,"domain_scores_codex":[0.9991091,0.00004329151,0.0001649924,0.0002896864,0.0002678879,0.0001249765],"domain_scores_gemma":[0.9996486,0.0000364304,0.0001078346,0.0001066423,0.000005453253,0.00009499812],"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":[0.0002510974,0.00005518554,0.08756091,0.00002395752,0.00002394835,0.000002987899,0.0006807122,0.0002505393,0.9103629,0.000002906551,0.0002158685,0.0005689691],"study_design_scores_gemma":[0.001742777,0.0007783817,0.1394083,0.00004600947,0.00007414093,0.000001064007,0.0003734653,0.008920932,0.8482012,0.00007873476,0.0001548867,0.00022016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968858,0.00004376592,0.001015089,0.001296083,0.00002206778,0.0001850446,0.00003558171,0.00002460692,0.0004919409],"genre_scores_gemma":[0.9988989,0.00007446001,0.0003351678,0.0004156911,0.00003413629,0.000004518755,0.0001901937,0.00001593196,0.00003104329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06216178,"threshold_uncertainty_score":0.4374548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055296598037574,"score_gpt":0.1941462786389929,"score_spread":0.1835933126586172,"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."}}