{"id":"W2055099471","doi":"10.1016/j.agwat.2011.07.007","title":"Impact of modified tillage on runoff and nutrient loads from potato fields in Prince Edward Island","year":2011,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Scotia Department of Agriculture; University of Prince Edward Island; Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Surface runoff; Tillage; Nutrient; Environmental science; Hydrology (agriculture); Agronomy; Geology; Geotechnical engineering; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006520701,0.0001761288,0.0001672082,0.00003622063,0.00003498029,0.00001847331,0.0001827112,0.00005330551,0.0001307114],"category_scores_gemma":[8.69893e-7,0.00008684031,0.00006336422,0.00009453246,0.00005250915,0.0001256071,0.0003111329,0.00007437002,0.00008849376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009743951,"about_ca_system_score_gemma":5.699385e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888614,"about_ca_topic_score_gemma":0.0001699574,"domain_scores_codex":[0.9989654,0.00002732338,0.0002203472,0.0003132708,0.0001982271,0.0002754239],"domain_scores_gemma":[0.999689,0.000008325891,0.00004500586,0.000184371,0.000004725625,0.00006851162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003071487,0.0005696092,0.9835934,0.00003113683,0.0001169199,0.00008183178,0.007562588,0.001817122,0.0008851021,0.0003727924,0.00125569,0.003406636],"study_design_scores_gemma":[0.0006765653,0.0002020355,0.9907051,0.00002609561,0.00001839265,0.000001400328,0.0001292776,0.0001764403,0.002473161,0.005279352,0.0001296309,0.0001825641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823859,0.000008572846,0.0000296882,0.00006392168,0.00007339368,0.0002954067,0.00001064765,0.00001739659,0.01711509],"genre_scores_gemma":[0.9990218,0.00004511393,0.0001257126,0.00004486814,0.00001302126,0.00001855929,0.00003439066,0.000005577453,0.0006910106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01663586,"threshold_uncertainty_score":0.3541245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00812035916991184,"score_gpt":0.193898945557518,"score_spread":0.1857785863876062,"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."}}