{"id":"W2050300210","doi":"10.2166/wst.2006.064","title":"Indicator of risk of water contamination by phosphorus from Canadian agricultural land","year":2006,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Agriculture and Agri-Food Canada","funders":"","keywords":"Manure; Surface runoff; Environmental science; Hydrology (agriculture); Macropore; Water balance; Fertilizer; Agriculture; Agricultural land; Phosphorus; Soil water; Tillage; Drainage; Saturation (graph theory); Soil series; Water quality; Contamination; Soil science; Agronomy; Soil classification; Geography; Mathematics; Ecology; Geology; Chemistry","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":[0.000360089,0.0004757677,0.0002388751,0.00335067,0.001014747,0.001045401,0.0006327279,0.0001809686,0.001696418],"category_scores_gemma":[0.001828646,0.0001468807,0.0003227816,0.004492522,0.0003072245,0.0004697904,0.001068223,0.0002434814,0.0001990216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01165288,"about_ca_system_score_gemma":0.01288678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9730776,"about_ca_topic_score_gemma":0.9829782,"domain_scores_codex":[0.9991997,0.00003180382,0.00003766229,0.00007016114,0.0005290521,0.0001316151],"domain_scores_gemma":[0.9983873,0.0001033149,0.0002410496,0.00005374883,0.001059709,0.0001548472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000132085,0.00003137452,0.89612,0.0001547822,0.0001189991,0.0001634233,0.0002807925,0.01466225,0.002788542,0.001679202,0.008059455,0.07580899],"study_design_scores_gemma":[0.00001090034,0.0000357774,0.9496743,0.00002613709,0.00005893996,0.0001268712,0.0004888925,0.0292111,0.003577469,0.0004639321,0.01627842,0.00004734315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151056,0.0005303785,0.01510003,0.000326408,0.00001462096,0.0002181084,0.04527469,0.0006292905,0.02280096],"genre_scores_gemma":[0.9697741,0.0004142927,0.01052461,0.00003448933,0.000004545042,0.00006172641,0.01635586,0.00003023525,0.002800267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0269224,"threshold_uncertainty_score":0.084548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00142662467601414,"score_gpt":0.1535851588400435,"score_spread":0.1521585341640294,"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."}}