{"id":"W4381611854","doi":"10.32920/23560914","title":"Assessing Lead Contamination in Buffalo River Sediments","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Dredging; Kriging; Sediment; Environmental science; Contamination; Pollution; Hydrology (agriculture); Watershed; Geology; Oceanography; Geomorphology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002242707,0.0001401071,0.0002151364,0.000669191,0.0003226477,0.0006047719,0.0001780043,0.0001547774,0.001031738],"category_scores_gemma":[0.0003820174,0.0001225979,0.0001249816,0.0006486424,0.0001687695,0.0002378892,0.0003231874,0.0001413077,0.000169981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006268238,"about_ca_system_score_gemma":0.000818132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08843725,"about_ca_topic_score_gemma":0.1542492,"domain_scores_codex":[0.9998354,0.00001581952,0.000008240668,0.00003928914,0.00008249895,0.00001875666],"domain_scores_gemma":[0.9998282,0.00002749396,0.00003390796,0.000005941094,0.00008670616,0.00001786797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002651184,0.0001456364,0.7350657,0.0001425814,0.0001004635,0.0004717761,0.0007310398,0.01397008,0.1914161,0.0004041982,0.0007765354,0.0565107],"study_design_scores_gemma":[0.00001921175,0.0004245695,0.8875518,0.00003553134,0.000102149,0.0001469414,0.001210115,0.03770479,0.06683617,0.0003632641,0.005562818,0.00004279768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961786,0.00008325843,0.001679117,0.00001160063,0.000001753685,0.00001998387,0.0003869985,0.00002965838,0.00160905],"genre_scores_gemma":[0.9945877,0.0001795957,0.002830003,0.000008702899,0.00000145519,0.00001867481,0.000503904,0.00001110787,0.001858908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08843725,"threshold_uncertainty_score":0.175845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.133111524148384,"score_gpt":0.3151959983910064,"score_spread":0.1820844742426224,"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."}}