{"id":"W3008601034","doi":"10.1002/agj2.20022","title":"Greenhouse gas emissions and carbon footprint under gravel mulching on China's Loess Plateau","year":2020,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Chinese Universities Scientific Fund; National Natural Science Foundation of China","keywords":"Greenhouse gas; Mulch; Environmental science; Loess plateau; Irrigation; Carbon footprint; Nitrous oxide; Agronomy; Soil carbon; Field experiment; Soil water; Environmental engineering; Animal science; Soil science; Chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.00007183223,0.0001821772,0.0001703245,0.00006386865,0.0001445753,0.0001052501,0.0001175616,0.00008482399,0.00002505791],"category_scores_gemma":[0.00001261666,0.000149544,0.00005906678,0.00009257378,0.00001945994,0.00005566825,0.0000328382,0.0007531708,0.000006440046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005347241,"about_ca_system_score_gemma":0.00002294178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000327789,"about_ca_topic_score_gemma":0.000007271727,"domain_scores_codex":[0.9992459,0.00002292549,0.0002028927,0.0001461446,0.0001213809,0.000260772],"domain_scores_gemma":[0.9994676,0.00003186892,0.00003782988,0.00009408125,0.00001329877,0.0003553169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003000433,0.0001855878,0.01605288,0.0001964773,0.001114105,0.0007478365,0.01609531,0.5238202,0.025459,0.002213421,0.00349168,0.4103235],"study_design_scores_gemma":[0.01124789,0.001297234,0.3609062,0.001426557,0.0004496024,0.002457663,0.004378112,0.5294966,0.04286195,0.01116418,0.03022101,0.004093043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914146,0.0003914002,0.001493791,0.001149214,0.0002564211,0.00005859132,0.000001288226,0.0001411389,0.005093539],"genre_scores_gemma":[0.9988417,0.0001866452,0.0004197884,0.0001090611,0.0003705079,0.000001979902,0.000001400246,0.00003651675,0.00003238034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4062304,"threshold_uncertainty_score":0.6098229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338618660138977,"score_gpt":0.1993744079767178,"score_spread":0.185988221375328,"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."}}