{"id":"W4408426876","doi":"10.5194/egusphere-egu25-10646","title":"Influences of land use and depth profile on the characteristics of microplastics in agricultural soils","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microplastics; Soil water; Agriculture; Environmental science; Agricultural land; Land use; Soil science; Hydrology (agriculture); Geology; Geography; Oceanography; Ecology; Geotechnical engineering; Archaeology; Biology","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":[0.0001428692,0.0002150966,0.0002024394,0.0004874429,0.0001937476,0.0006135754,0.0001852831,0.0001708011,0.0008719093],"category_scores_gemma":[0.0003796139,0.0001028716,0.0002329139,0.0007535883,0.0002570532,0.0002829903,0.0002438868,0.0001201706,0.0001753639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006501693,"about_ca_system_score_gemma":0.0003011723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03145333,"about_ca_topic_score_gemma":0.04328841,"domain_scores_codex":[0.9998015,0.00004065883,0.000009555481,0.00006276977,0.00003713662,0.00004838201],"domain_scores_gemma":[0.9996687,0.00009532811,0.00008679424,0.00002144583,0.00006312128,0.00006459345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004096157,0.00008957976,0.9424982,0.0000366792,0.0001042333,0.0003804044,0.0002713557,0.0007568769,0.04602824,0.00005807553,0.0001273049,0.009239512],"study_design_scores_gemma":[9.240504e-7,0.00003984063,0.9989178,0.00000154971,0.000007155782,0.00002745921,0.0001620255,0.0001735082,0.0004681342,0.000007450322,0.0001920492,0.000001989072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992555,0.0001038352,0.00006620301,0.000007647878,0.000001023791,0.000003373178,0.0001658345,0.000003047049,0.0003934483],"genre_scores_gemma":[0.9994166,0.00007707271,0.00005819068,0.000007259424,0.000001584256,0.000003721461,0.0001721698,0.000002932854,0.0002604488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03145333,"threshold_uncertainty_score":0.06254047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500026893488653,"score_gpt":0.2127452011061024,"score_spread":0.1977449321712159,"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."}}