{"id":"W2994524842","doi":"10.2175/193864709793846411","title":"The Agriculture and Agri-Food Canada Program to Assess and Manage the Transport of Microconstituents in Biosolids-Amended Soils","year":2009,"lang":"en","type":"article","venue":"Proceedings of the Water Environment Federation","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biosolids; Agriculture; Soil water; Business; Environmental science; Agricultural economics; Agroforestry; Agronomy; Geography; Environmental engineering; Soil science; Economics; Biology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004474516,0.0007236714,0.0003001736,0.001158948,0.004301128,0.001498373,0.002247597,0.001046733,0.003418427],"category_scores_gemma":[0.001678501,0.0003732037,0.0003570421,0.001288485,0.0008458856,0.000594118,0.0007970272,0.001348822,0.0007539612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05026531,"about_ca_system_score_gemma":0.254531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9760194,"about_ca_topic_score_gemma":0.9859836,"domain_scores_codex":[0.9973555,0.0002771549,0.00004230226,0.0001501938,0.001657067,0.0005178088],"domain_scores_gemma":[0.9915308,0.000223931,0.0001970351,0.000184954,0.006238087,0.001625171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002707971,0.00613084,0.1689898,0.0006300715,0.0003139216,0.0005448744,0.001251923,0.01083398,0.1046562,0.01553207,0.3066764,0.3817319],"study_design_scores_gemma":[0.0007668203,0.002195199,0.2608421,0.0002057307,0.0002160895,0.0001563722,0.002905758,0.01559814,0.0775936,0.001300135,0.6380692,0.0001506863],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5912626,0.005548044,0.03235934,0.04719997,0.001764764,0.01519363,0.06391716,0.001894189,0.2408603],"genre_scores_gemma":[0.5209004,0.004792717,0.09472803,0.007726225,0.0001001152,0.002450765,0.03072306,0.0001945708,0.3383842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05026531,"threshold_uncertainty_score":0.364702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007240102220600482,"score_gpt":0.1895608749660517,"score_spread":0.1823207727454512,"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."}}