{"id":"W1990831369","doi":"10.1081/ese-120003252","title":"LONG-TERM EFFECTS OF MUNICIPAL SEWAGE ON SOILS AND PASTURES","year":2002,"lang":"en","type":"article","venue":"Journal of Environmental Science and Health Part A","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"Melbourne Water","keywords":"Term (time); Soil water; Environmental science; Sewage; Agronomy; Environmental engineering; Soil science; Biology; Physics","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":[0.0004728231,0.000388432,0.0005281372,0.0004634192,0.0008362178,0.0008887923,0.0003862576,0.0006812504,0.001598561],"category_scores_gemma":[0.000790332,0.0002108382,0.0005243701,0.0005091784,0.0004176674,0.0004778748,0.0006378149,0.0004759951,0.000436873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020984,"about_ca_system_score_gemma":0.0005947698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109816,"about_ca_topic_score_gemma":0.02243208,"domain_scores_codex":[0.9996232,0.0000660505,0.000029798,0.0001029876,0.00007876734,0.00009923339],"domain_scores_gemma":[0.9986111,0.0002214157,0.0003017347,0.0001027914,0.000471568,0.0002913201],"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":[0.01087287,0.002241231,0.3553056,0.0008548586,0.001058436,0.001200099,0.00150593,0.001562892,0.5774423,0.00024029,0.0008284128,0.04688719],"study_design_scores_gemma":[0.00006457734,0.006025852,0.9275808,0.00005694486,0.000326218,0.0003609702,0.001318834,0.000839168,0.0600577,0.0002512793,0.003065983,0.00005177516],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986576,0.0006611833,0.00002680672,0.00002483923,0.000009101221,0.000005008228,0.0002444988,0.000003723901,0.0003672771],"genre_scores_gemma":[0.9971128,0.0004788793,0.00007042973,0.00003379355,0.00001075381,0.000007948292,0.0006717851,0.000003950307,0.001609767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01109816,"threshold_uncertainty_score":0.02206707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195035848646832,"score_gpt":0.2666503697336135,"score_spread":0.2471467848689303,"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."}}