{"id":"W7011424068","doi":"","title":"Monitoring soil nutrients and water quality on soils irrigated with liquid swine effluent","year":2009,"lang":"en","type":"other","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Soil water; Nutrient; Water quality; Effluent; Surface runoff; Irrigation; Water pollution","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002142564,0.0001908872,0.0001955602,0.0002479536,0.0002859424,0.0003026059,0.000340771,0.0002871761,0.000594708],"category_scores_gemma":[0.0001706588,0.0001098529,0.0001294615,0.0003665294,0.0001877448,0.000249809,0.0002247718,0.0002354652,0.0001499227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004025131,"about_ca_system_score_gemma":0.0004143584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01656082,"about_ca_topic_score_gemma":0.03533005,"domain_scores_codex":[0.999898,0.00001148228,0.000006524164,0.00003235477,0.00003383186,0.00001777795],"domain_scores_gemma":[0.9998585,0.00003060741,0.00003232324,0.000008659521,0.00004542958,0.00002446135],"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":[0.0004351876,0.00007271515,0.03452868,0.00002709342,0.0000121459,0.00009617358,0.00008862325,0.0001594717,0.9577472,0.00003885801,0.00007761807,0.00671624],"study_design_scores_gemma":[0.00006937965,0.0008153436,0.5896183,0.00001180645,0.00005587261,0.0002146723,0.0005316219,0.007203419,0.3993009,0.0001494955,0.002007388,0.00002177447],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982503,0.00003646302,0.0008396162,0.00001120214,0.000002821719,0.00001119096,0.0002127927,0.000016918,0.0006185376],"genre_scores_gemma":[0.9937106,0.00009920126,0.003957028,0.00002407639,0.000002203531,0.0000254114,0.0005469582,0.00001276572,0.001621751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01656082,"threshold_uncertainty_score":0.03292888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007913380300528653,"score_gpt":0.2725386307710405,"score_spread":0.2646252504705118,"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."}}