{"id":"W2051543364","doi":"10.2134/agronj2002.1860","title":"Nutrient Considerations for Diversified Cropping Systems in the Northern Great Plains","year":2002,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Agronomy; Environmental science; Nutrient; Nutrient management; Cropping; Crop residue; Cropping system; Soil quality; Tillage; Leaching (pedology); Nutrient cycle; Crop yield; Fertilizer; Crop; Agroforestry; Agriculture; Soil water; Biology; Ecology; Soil science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002366668,0.00007145457,0.0000887195,0.00001218599,0.0004438827,0.0001940217,0.0001221401,0.00003840523,0.0001238132],"category_scores_gemma":[0.000037794,0.00002355484,0.00008666956,0.00008862255,0.00002640691,0.00008220666,0.00001288576,0.0001199933,0.0000109337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004871962,"about_ca_system_score_gemma":0.000004899956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002253085,"about_ca_topic_score_gemma":0.002202008,"domain_scores_codex":[0.9993789,0.00007404493,0.000167691,0.00009190328,0.0001076847,0.0001797944],"domain_scores_gemma":[0.9994506,0.0003421912,0.000073087,0.00002878332,0.00005512825,0.00005018237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002249913,0.001480383,0.7766247,0.00004709605,0.0004645413,0.0004788602,0.0188995,0.003823207,0.01251673,0.03965633,0.06357417,0.08220945],"study_design_scores_gemma":[0.005441922,0.001472252,0.7219839,0.0002466936,0.0002169779,0.003349256,0.04239088,0.07377511,0.0002460064,0.01526084,0.1340136,0.001602625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957833,0.0004709613,0.00002547632,0.002313522,0.0001418952,0.0002120526,0.00001483025,0.000009213522,0.0010287],"genre_scores_gemma":[0.9993166,0.00002519965,0.00004110662,0.0002470869,0.0002609898,0.00001729843,0.000005227718,4.985917e-7,0.00008599165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08060682,"threshold_uncertainty_score":0.3414032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05010675185747305,"score_gpt":0.2118670025333379,"score_spread":0.1617602506758649,"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."}}