{"id":"W4292882174","doi":"10.1002/ael2.20088","title":"Assessing how cover crops close the soil health gap in on‐farm experiments","year":2022,"lang":"en","type":"article","venue":"Agricultural & Environmental Letters","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Resources Conservation Service","keywords":"Environmental science; Soil water; Soil health; Cover crop; Soil cover; Agronomy; Infiltration (HVAC); Soil science; Soil organic matter; Hydrology (agriculture); Agroforestry; Geography; Biology; Geology","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":[0.0009379735,0.0002745732,0.0003704583,0.0002965146,0.0005269495,0.0004913522,0.0006423827,0.0006016475,0.00145571],"category_scores_gemma":[0.001756179,0.0001734594,0.0002283551,0.0001630354,0.0005393038,0.0006143598,0.0005334914,0.0007027525,0.000133288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439216,"about_ca_system_score_gemma":0.0004928911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009340421,"about_ca_topic_score_gemma":0.02724107,"domain_scores_codex":[0.9991892,0.0002230469,0.00004626832,0.0002039549,0.0001733894,0.0001641184],"domain_scores_gemma":[0.9968084,0.001011565,0.000814423,0.0004210863,0.0004315418,0.0005129108],"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":[0.005827357,0.005704564,0.1398984,0.0001901296,0.0002129245,0.0002681132,0.0006525365,0.001508023,0.8179895,0.0004867741,0.000808823,0.02645285],"study_design_scores_gemma":[0.0002073563,0.02067528,0.8347903,0.00003279993,0.0001383129,0.0001587797,0.001004342,0.006072354,0.1303082,0.0006821919,0.005887798,0.00004229631],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981396,0.00003608057,0.0008529019,0.00003064327,0.00001532027,0.00006750761,0.0001504143,0.00001945536,0.0006879829],"genre_scores_gemma":[0.9964624,0.00003907713,0.001619591,0.0001900894,0.000009395853,0.000259809,0.0003654179,0.00001787005,0.001036298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009340421,"threshold_uncertainty_score":0.01857215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042735491604561,"score_gpt":0.2270204330213928,"score_spread":0.2065930781053472,"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."}}