{"id":"W1985479900","doi":"10.1080/01904167.2011.587584","title":"INFLUENCE OF TWENTY-THREE ANNUAL APPLICATIONS OF NITROGEN AND SULFUR FERTILIZERS, AND ONE-TIME LIMING ON DRY MATTER YIELD OF GRASS AND SOME SOIL PROPERTIES ON A DARK GRAY CHERNOZEM SOIL","year":2011,"lang":"en","type":"article","venue":"Journal of Plant Nutrition","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture Food and Rural Development; Agriculture and Agri-Food Canada","funders":"","keywords":"Chernozem; Agronomy; Lime; Loam; Soil water; Dry matter; Organic matter; Fertilizer; Perennial plant; Nitrogen; Chemistry; Calcareous; Soil horizon; Environmental science; Soil science; Botany; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0002792352,0.0004343267,0.0003633751,0.000248877,0.0004337289,0.0005409002,0.0004029421,0.0002303132,0.0005009128],"category_scores_gemma":[0.0005133193,0.0002703412,0.0002164786,0.0002045046,0.000460248,0.0002078742,0.0003471884,0.0004159912,0.00008472738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782807,"about_ca_system_score_gemma":0.001277073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04696974,"about_ca_topic_score_gemma":0.1158067,"domain_scores_codex":[0.9997844,0.00002639194,0.00002258697,0.00005927006,0.00004440825,0.00006279743],"domain_scores_gemma":[0.9991292,0.0002206991,0.0001474028,0.00003253183,0.00009949225,0.0003706525],"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":[0.006575741,0.0007106509,0.03918195,0.0001906017,0.0001370026,0.0004184484,0.0002739531,0.001093407,0.9417707,0.00004381127,0.0001694264,0.009434305],"study_design_scores_gemma":[0.0003114059,0.007859426,0.7263106,0.00002762838,0.0002305447,0.0002044438,0.0008021454,0.002841477,0.2576812,0.00008747702,0.003575104,0.0000685831],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996777,0.00009929929,0.00002471661,0.000008976297,0.000005008766,0.000006029982,0.00005482683,0.000002734174,0.0001208132],"genre_scores_gemma":[0.9984031,0.0001856345,0.0002095821,0.00005127221,0.000004791758,0.00001418648,0.0002391005,0.000004410545,0.0008879078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04696974,"threshold_uncertainty_score":0.09339267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111763691022129,"score_gpt":0.1884080434789179,"score_spread":0.1672904065686966,"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."}}