{"id":"W2615315392","doi":"10.1016/j.agee.2017.05.001","title":"Greenhouse gas mitigation potential of annual and perennial dairy feed crop systems","year":2017,"lang":"en","type":"article","venue":"Agriculture Ecosystems & Environment","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Universiti Putra Malaysia","keywords":"Greenhouse gas; Environmental science; Agronomy; Hay; Perennial plant; Crop; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005074109,0.000174818,0.0001943528,0.0003436301,0.0003238249,0.0006042833,0.0002554678,0.000194569,0.0009071498],"category_scores_gemma":[0.0003284089,0.0000641905,0.0002347946,0.0003970581,0.0001647591,0.0004412489,0.000315991,0.0000945953,0.00007713492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298512,"about_ca_system_score_gemma":0.0006427299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01714423,"about_ca_topic_score_gemma":0.04012519,"domain_scores_codex":[0.9998754,0.00003341974,0.000006759725,0.00002418798,0.00001606768,0.00004401891],"domain_scores_gemma":[0.9998237,0.00005105503,0.00003119449,0.0000147473,0.00004770185,0.00003155839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004047447,0.0005038696,0.4651592,0.0004409983,0.0007340882,0.0005322514,0.0005411183,0.210491,0.1940148,0.005513244,0.00125678,0.1167653],"study_design_scores_gemma":[0.0001779688,0.00185114,0.7682971,0.00003047986,0.0005826316,0.0002300083,0.002439468,0.172246,0.04332011,0.003598491,0.007165285,0.00006115819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981855,0.00007238422,0.0001974677,0.00002095411,0.00000153468,0.000004424934,0.0001628128,0.000005732044,0.001349091],"genre_scores_gemma":[0.9994382,0.00003479595,0.0001515406,0.00000506613,5.639301e-7,0.00000308269,0.0001070557,9.575444e-7,0.0002587388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01714423,"threshold_uncertainty_score":0.03408891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006020445231504529,"score_gpt":0.1759475706829783,"score_spread":0.1699271254514738,"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."}}