{"id":"W2517546869","doi":"","title":"Insights into Contaminant Leaching Through An Intensive Field Monitoring Program","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Environmental science; Leaching (pedology); Soil science; Soil water","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000473232,0.0001795802,0.0001924287,0.00002233157,0.0003568385,0.00009201144,0.000267841,0.0000974806,0.00003573017],"category_scores_gemma":[0.0001924747,0.0001520898,0.00005776488,0.00007823233,0.0000815222,0.0005766344,0.0002179679,0.0002537978,0.000340806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000118899,"about_ca_system_score_gemma":0.000006152057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01660956,"about_ca_topic_score_gemma":0.002452883,"domain_scores_codex":[0.9983898,0.0002983664,0.0003046648,0.0003830809,0.000293418,0.0003306437],"domain_scores_gemma":[0.9992715,0.000135787,0.0001417776,0.0003059485,0.00002354484,0.0001215016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006915452,0.0004883409,0.5730077,0.0001069073,0.0000586,0.00002503792,0.07244471,0.002409094,0.07223783,0.004371006,0.00399872,0.2707829],"study_design_scores_gemma":[0.002180494,0.002889544,0.2214185,0.0008408974,0.0001116982,0.00002412851,0.01596923,0.02682816,0.1412583,0.01005477,0.5761005,0.002323771],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795646,0.00004041757,0.004733604,0.0005777272,0.0005230038,0.0002362255,2.839976e-7,0.0001576721,0.01416647],"genre_scores_gemma":[0.9839872,0.00001884106,0.01468435,0.0007982655,0.0002668396,0.00003617341,0.000004810372,0.00001674151,0.0001867937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5721018,"threshold_uncertainty_score":0.9899389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266371994982547,"score_gpt":0.307780817448156,"score_spread":0.2811436179499013,"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."}}