{"id":"W4414215610","doi":"10.46754/ps.2025.07.003","title":"MICROPLASTICS IN AQUATIC ECOSYSTEMS: PATHWAYS, IMPACTS AND INTEGRATED SOLUTIONS FOR ENVIRONMENT AND HUMAN HEALTH","year":2025,"lang":"en","type":"article","venue":"PLANETARY SUSTAINABILITY","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Microplastics; Aquatic ecosystem; Food chain; Pollution; Human health; Scope (computer science); Biota; Plastic pollution; Trophic level","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006708397,0.0001654624,0.0002324071,0.00007586867,0.0002890096,0.00002963436,0.00006992125,0.00007462395,0.00005948467],"category_scores_gemma":[0.0002241876,0.0001542786,0.0000193044,0.0001066716,0.0001959413,0.00006819393,0.0001193672,0.000133619,0.000004656458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007411827,"about_ca_system_score_gemma":0.00009938463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005812056,"about_ca_topic_score_gemma":0.01047674,"domain_scores_codex":[0.9986029,0.0001186527,0.0003532271,0.0003674158,0.00008475455,0.0004730495],"domain_scores_gemma":[0.9992791,0.0003369426,0.00007600812,0.0001718038,0.000005444854,0.000130667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00019174,0.0004457033,0.9677286,0.001391936,0.00004385999,0.00001353654,0.001135068,0.006452367,0.002097507,0.006330459,0.00439149,0.009777808],"study_design_scores_gemma":[0.001296951,0.0004537446,0.9038271,0.0001111633,0.00003855351,0.00001551757,0.001068788,0.05844486,0.00005703872,0.01225613,0.02210256,0.0003276243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986789,0.0006408522,0.01046459,0.0006176397,0.00007194407,0.001007092,0.0003063057,0.00001926516,0.0000832861],"genre_scores_gemma":[0.9990146,0.00007539293,0.0005416652,0.00008694967,0.000007688472,0.00002531261,0.0001826584,0.00000549746,0.00006025319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06390145,"threshold_uncertainty_score":0.8786129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009420254262188942,"score_gpt":0.2210795573084696,"score_spread":0.2116593030462806,"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."}}