{"id":"W7095877868","doi":"","title":"Growing Soybean Prior to Corn Increased Soil Nitrogen Supply and N Fertilizer Efficiency for Corn in Cold and Humid Conditions of","year":2016,"lang":"en","type":"article","venue":"","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crop; Crop rotation; Fertilizer; Nitrogen; Zea mays; Significant difference","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001788026,0.0001723749,0.0001717193,0.0001254631,0.0003325114,0.000320037,0.0002134868,0.0001174881,0.001087801],"category_scores_gemma":[0.0002178678,0.0001105604,0.0001207583,0.0001086502,0.0001553557,0.0001681617,0.0001556568,0.0002177655,0.0001020258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002353686,"about_ca_system_score_gemma":0.001252378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2039235,"about_ca_topic_score_gemma":0.6580835,"domain_scores_codex":[0.9998784,0.00001504508,0.000005552847,0.00004374831,0.00002717926,0.00003005072],"domain_scores_gemma":[0.9997342,0.00003229002,0.00009648369,0.00001672202,0.0000515022,0.0000687703],"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":[0.00168726,0.0004134969,0.1493539,0.0001186358,0.00007244045,0.0002199587,0.0002757524,0.0005859138,0.8363729,0.00006543963,0.0002287228,0.01060554],"study_design_scores_gemma":[0.00001501778,0.0003529328,0.9892018,0.000003320247,0.00001076153,0.00003719013,0.00009034605,0.0003018761,0.009186125,0.00001118343,0.0007844042,0.000005031179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999525,0.00003998162,0.00007848623,0.00000877629,0.000001384449,0.000007404141,0.00007786728,0.000003667396,0.0002574829],"genre_scores_gemma":[0.9979808,0.0000625912,0.0005392843,0.00003718158,0.000002094455,0.00001627531,0.000311254,0.000004389607,0.001046153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2039235,"threshold_uncertainty_score":0.4054731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284740477286578,"score_gpt":0.2245903228514591,"score_spread":0.2117429180785933,"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."}}