{"id":"W4406061925","doi":"10.1016/j.jconhyd.2025.104496","title":"Microplastic pollution in the marine environment: Distribution factors and mitigation strategies in different oceans","year":2025,"lang":"en","type":"review","venue":"Journal of Contaminant Hydrology","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Sejong University","keywords":"Environmental science; Microplastics; Pollution; Settling; Abiotic component; Plastic pollution; Biofouling; Distribution (mathematics); Oceanography; Environmental protection; Environmental engineering; Ecology; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004539021,0.0003049839,0.0008778028,0.0001837166,0.00005984804,0.00003489375,0.0002265194,0.0002593727,0.0001003101],"category_scores_gemma":[0.0001108163,0.0001738492,0.0001368418,0.0001754995,0.0001853867,0.0001176681,0.0001157935,0.0005520652,0.000006575564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004106433,"about_ca_system_score_gemma":0.00006730184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009440127,"about_ca_topic_score_gemma":0.0005166173,"domain_scores_codex":[0.9980317,0.0004383844,0.0008481055,0.0002136375,0.0001958837,0.0002722673],"domain_scores_gemma":[0.9986031,0.0006087492,0.0006191713,0.0001185292,0.000004399778,0.00004605458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003499139,0.001475849,0.0610736,0.005957345,0.0002984208,0.0006231116,0.001798105,0.002741229,0.0004172161,0.004713062,0.002522984,0.9180292],"study_design_scores_gemma":[0.001499018,0.0009188099,0.1904613,0.004204378,0.001026313,0.0007613153,0.0002388333,0.0007374531,0.000008312306,0.001777845,0.7977775,0.0005889628],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2618152,0.7274055,0.007345368,0.0003137754,0.001444036,0.001054843,0.000278508,0.000006360491,0.0003363857],"genre_scores_gemma":[0.3115938,0.688225,0.00001008672,0.00001437311,0.00005436549,0.000004868535,0.00007301728,0.000005822382,0.00001870852],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9174402,"threshold_uncertainty_score":0.7089366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007912551283428226,"score_gpt":0.2295567594128227,"score_spread":0.2216442081293945,"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."}}