{"id":"W2002848730","doi":"10.2134/jeq2002.1858","title":"Environmental and Agronomic Implications of Water Table and Nitrogen Fertilization Management","year":2002,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Waterlogging (archaeology); Water table; Human fertilization; Denitrification; Environmental science; Fertilizer; Nitrate; Nitrogen; Agronomy; Drainage; Animal science; Hydrology (agriculture); Chemistry; Wetland; Ecology; Biology; Groundwater; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000581814,0.0002854831,0.0002653879,0.0001518981,0.0003758171,0.0005967015,0.0006519143,0.0003870855,0.0008663289],"category_scores_gemma":[0.0006789623,0.0001395956,0.0001554383,0.0003267736,0.0005166348,0.0003422699,0.0002130197,0.0002431302,0.0000949063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007130075,"about_ca_system_score_gemma":0.003102437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3345036,"about_ca_topic_score_gemma":0.6073398,"domain_scores_codex":[0.9995561,0.0001270784,0.00002057078,0.00009208314,0.0001152263,0.00008880286],"domain_scores_gemma":[0.9993281,0.0001389869,0.0001586658,0.00002269569,0.0001965617,0.0001549491],"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":[0.004954658,0.001137527,0.3557667,0.0003567611,0.0004828206,0.0006943171,0.0003237418,0.01054221,0.544305,0.0007985126,0.001809546,0.07882826],"study_design_scores_gemma":[0.00008828007,0.00182402,0.9645408,0.0000143231,0.0000991515,0.00009317353,0.0004193267,0.003574274,0.02344504,0.000314867,0.00555071,0.00003600027],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955046,0.0008196679,0.000367045,0.00017903,0.00001308493,0.00003789775,0.0003700589,0.00001360905,0.002695127],"genre_scores_gemma":[0.996252,0.0004758439,0.0005882038,0.0001954333,0.000005007126,0.00002095531,0.00047772,0.000007367456,0.001977518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3345036,"threshold_uncertainty_score":0.6651131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307596639659122,"score_gpt":0.2103237287618079,"score_spread":0.1972477623652166,"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."}}