{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002283579,0.000366169,0.0002787806,0.0002866832,0.0003017485,0.000326926,0.0002405369,0.0002251113,0.0004286214],"category_scores_gemma":[0.0001281138,0.00008955193,0.0002766444,0.0003936873,0.0002709683,0.0002571363,0.0001790479,0.0001428718,0.00003019746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028917,"about_ca_system_score_gemma":0.000434551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03280358,"about_ca_topic_score_gemma":0.06528639,"domain_scores_codex":[0.9998996,0.0000184097,0.000005180091,0.00002944025,0.00002321578,0.00002417694],"domain_scores_gemma":[0.9998735,0.00002285076,0.00003858731,0.00001107711,0.00003305002,0.00002095049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001282403,0.0003604844,0.5366884,0.000198928,0.0002270496,0.0006054199,0.0003424151,0.01147644,0.4300292,0.0001537309,0.0002003646,0.01843519],"study_design_scores_gemma":[0.0000181133,0.0003352462,0.9803005,0.000004154217,0.00005646527,0.0000177675,0.0001917258,0.00676129,0.01201284,0.00003424883,0.0002572899,0.00001025502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997947,0.00001894365,0.00003821463,0.000004744514,5.343818e-7,0.00000241833,0.00003392875,0.000003481126,0.0001032048],"genre_scores_gemma":[0.9996538,0.00002330758,0.00009348825,0.000008364364,9.863776e-7,0.000006161039,0.00009264587,0.000001249329,0.0001199767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03280358,"threshold_uncertainty_score":0.0652253,"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."}}