{"id":"W3010481705","doi":"10.1139/cjss-2019-0155","title":"Long-term rotation impacts soil total macronutrient levels and wheat response to applied nitrogen, phosphorus, potassium, sulfur in a Luvisolic soil","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; McGill University; Alberta Crop Industry Development Fund","keywords":"Crop rotation; Agronomy; Nutrient; Soil fertility; Phosphorus; Soil carbon; Environmental science; Manure; Nitrogen; Soil water; Chemistry; Crop; Soil science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0001479076,0.0002657517,0.0002126248,0.0001894905,0.000212339,0.0004127169,0.0002117046,0.0001675998,0.0008293465],"category_scores_gemma":[0.0001560526,0.0001604676,0.0001893601,0.0002310141,0.0002487459,0.0001832201,0.0002228095,0.0002348719,0.0001452693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009799233,"about_ca_system_score_gemma":0.0005748292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01676129,"about_ca_topic_score_gemma":0.04753674,"domain_scores_codex":[0.9998785,0.00001457174,0.000008141812,0.00003898343,0.00001802444,0.00004181044],"domain_scores_gemma":[0.999778,0.00001607289,0.00006569226,0.00001402646,0.00003404591,0.00009218803],"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":[0.002618771,0.0002910967,0.0873443,0.00005116052,0.00008896333,0.000144687,0.0001476659,0.0002423006,0.9028722,0.00005531302,0.000211793,0.005931737],"study_design_scores_gemma":[0.00002325388,0.001156211,0.979978,0.000004982964,0.00003260892,0.0000668733,0.0002149045,0.0006041189,0.01709208,0.00003220972,0.0007864208,0.000008228911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996881,0.0000481407,0.00004254825,0.000007316939,0.000002075016,0.000002521488,0.00007245083,0.000005263337,0.0001315235],"genre_scores_gemma":[0.9988606,0.00007621312,0.000122547,0.00002911896,0.000002326563,0.000006807334,0.000439903,0.000004814695,0.0004576521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01676129,"threshold_uncertainty_score":0.03332746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726896821560559,"score_gpt":0.2225475612014617,"score_spread":0.2052785929858562,"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."}}