{"id":"W6920403011","doi":"10.60692/ecz4q-bcr50","title":"WOOD-DERIVED BIOCHAR INFLUENCES NUTRIENT USE EFFICIENCY OF HEAVY METALS IN SPINACH (SPINACIA OLERACEA) UNDER GROUNDWATER AND WASTEWATER IRRIGATION","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Biochar; Amendment; Wastewater; Irrigation; Biomass (ecology); Spinach","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0000838523,0.0002410351,0.0002498059,0.0001632473,0.0001467598,0.0003105915,0.0001296424,0.0002128222,0.0003559605],"category_scores_gemma":[0.0001246579,0.0001181801,0.000233543,0.0001790336,0.0001394285,0.0001852805,0.000180973,0.0002733581,0.00008514701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002870609,"about_ca_system_score_gemma":0.0002264221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004936018,"about_ca_topic_score_gemma":0.01023469,"domain_scores_codex":[0.9998914,0.00001492327,0.00001056367,0.00003132376,0.00002506668,0.00002674239],"domain_scores_gemma":[0.9999098,0.00001708819,0.00002288766,0.000006732152,0.00002460598,0.00001892006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009702288,0.00001849369,0.001190599,0.00002887204,0.000007245886,0.00002043031,0.00001358286,0.00007017046,0.9975632,0.000009391166,0.000006053269,0.0009749095],"study_design_scores_gemma":[0.00001126753,0.0006474294,0.05961344,0.000009953514,0.00005259276,0.00007747995,0.0001936398,0.001165551,0.9372519,0.00005489217,0.0009093447,0.00001244948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991923,0.0002076003,0.000293001,0.00001550305,0.000003937243,0.000003748913,0.00009963261,0.000006846587,0.0001774406],"genre_scores_gemma":[0.9988475,0.0001642808,0.0003673645,0.00001917441,0.000001142831,0.000004815206,0.0001424217,0.000005517981,0.0004478197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004936018,"threshold_uncertainty_score":0.00981456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039260762132688,"score_gpt":0.2032800841491905,"score_spread":0.1828874765278636,"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."}}