{"id":"W4390533508","doi":"10.1038/s41598-024-51155-y","title":"Spatial patterns of historical crop yields reveal soil health attributes in US Midwest fields","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"Great Lakes Bioenergy Research Center; Natural Resources Conservation Service; College of Engineering, Michigan State University; Michigan State University Foundation; National Institute of Food and Agriculture; AgBioResearch, Michigan State University; Michigan State University","keywords":"Crop; Geography; Forestry","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":[0.0004548647,0.0001617098,0.0001606705,0.0009810855,0.0003645438,0.0004693716,0.0002840445,0.0002226973,0.0005588388],"category_scores_gemma":[0.001188463,0.0001528359,0.0001624477,0.001285477,0.0003345199,0.0003406475,0.0005832632,0.0001663373,0.0001016204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006488693,"about_ca_system_score_gemma":0.000326654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1114859,"about_ca_topic_score_gemma":0.1935096,"domain_scores_codex":[0.9998187,0.00002345043,0.00001777853,0.00008068758,0.00002198246,0.00003744389],"domain_scores_gemma":[0.999094,0.0001693694,0.0003753717,0.00009721765,0.0001768405,0.0000871401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000584268,0.00001886286,0.9945468,0.000006321557,0.00001912589,0.0000284429,0.0003839496,0.0002637085,0.001572684,0.00002237005,0.000097481,0.002981944],"study_design_scores_gemma":[8.259565e-7,0.000008205381,0.9993153,0.000002435896,0.000003979448,0.00001112772,0.000254486,0.0002343988,0.00008728642,0.000009801384,0.00007093865,0.00000140971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993502,0.00002238188,0.00005887855,0.000009245883,3.930181e-7,0.00000206157,0.0004071975,0.000004014852,0.0001456707],"genre_scores_gemma":[0.9992172,0.00002724002,0.0001674082,0.000007171133,0.00000103516,0.000005808989,0.0004870154,0.00000169468,0.0000853895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1114859,"threshold_uncertainty_score":0.221674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377670589935579,"score_gpt":0.2410458191117525,"score_spread":0.2172691132123967,"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."}}