{"id":"W4415531739","doi":"10.1016/j.envpol.2025.127316","title":"Soil contamination by microplastics in a small French agricultural watershed","year":2025,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Office Français de la Biodiversité; Natural Sciences and Engineering Research Council of Canada; Agence de la transition écologique","keywords":"Microplastics; Agriculture; Soil water; Contamination; Tillage; Food chain; Agricultural land; Greenhouse; Paddy field","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001519083,0.0004275628,0.0003332171,0.001001366,0.001268758,0.0008106488,0.0003911335,0.0005166779,0.0006039258],"category_scores_gemma":[0.0001763586,0.0001243645,0.0002741155,0.001006399,0.0005636656,0.0002614105,0.0004050501,0.0001868533,0.0001112649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003003243,"about_ca_system_score_gemma":0.001316557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1927827,"about_ca_topic_score_gemma":0.2421371,"domain_scores_codex":[0.9998041,0.00002709606,0.000007052215,0.0000629849,0.00004756567,0.00005127203],"domain_scores_gemma":[0.9998642,0.00002510413,0.00003229594,0.000006210342,0.00003994685,0.00003224476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007373753,0.001067579,0.6709422,0.0002251946,0.0001770047,0.01199022,0.003879491,0.004906977,0.2642772,0.0003970076,0.0005305259,0.04086908],"study_design_scores_gemma":[0.00002372461,0.0006309624,0.9731362,0.00001917231,0.00007630834,0.0007005216,0.003889614,0.005295715,0.0135202,0.000117448,0.002557256,0.00003285551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991775,0.00006019139,0.0001002612,0.0000286817,8.93713e-7,0.00001418187,0.00009015149,0.0000121119,0.0005158907],"genre_scores_gemma":[0.9987017,0.0001446515,0.0004451267,0.00002517483,0.000003360757,0.00001761223,0.0001270357,0.000002449393,0.0005329022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1927827,"threshold_uncertainty_score":0.3833211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003033585425341104,"score_gpt":0.1637051937902735,"score_spread":0.1606716083649324,"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."}}