{"id":"W4412688530","doi":"10.1186/s42834-025-00257-x","title":"A bibliometric analysis of microplastic pollution in aquatic environments from 2013 to 2023","year":2025,"lang":"en","type":"article","venue":"Sustainable Environment Research","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Postdoctoral Program for Innovative Talents","keywords":"Pollution; Environmental science; Aquatic environment; Environmental planning; Environmental chemistry; Environmental resource management; Chemistry; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005106856,0.0007317422,0.00176102,0.133671,0.0009255925,0.003924262,0.0009210953,0.000781712,0.003924946],"category_scores_gemma":[0.03190685,0.0002679798,0.00260617,0.1924662,0.0005874441,0.003083909,0.002016264,0.0005695897,0.0009119557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002915243,"about_ca_system_score_gemma":0.004403523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01256543,"about_ca_topic_score_gemma":0.01238953,"domain_scores_codex":[0.989155,0.001251788,0.003181339,0.0009850528,0.004835582,0.0005911354],"domain_scores_gemma":[0.9592146,0.01612925,0.01230517,0.0008408199,0.0103058,0.00120445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004547274,0.0001670279,0.7606031,0.04228649,0.004519753,0.001240238,0.002300757,0.002352616,0.001446139,0.002372477,0.03017969,0.1520771],"study_design_scores_gemma":[0.00004226117,0.0001357006,0.9437235,0.005635861,0.003120693,0.001110031,0.002951402,0.002356201,0.0007298696,0.0009572204,0.03914741,0.00008976954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5934795,0.1367152,0.001644231,0.003707137,0.000400955,0.0005868281,0.2403568,0.0004316428,0.02267763],"genre_scores_gemma":[0.8665845,0.06071151,0.001827519,0.000374498,0.0004456231,0.0006955187,0.06747319,0.00007105984,0.001816667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.866329,"threshold_uncertainty_score":0.02700794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530968371079206,"score_gpt":0.289673986014056,"score_spread":0.2743643023032639,"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."}}