{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007456029,0.0006641513,0.00072363,0.000946717,0.0007545667,0.002561007,0.00050426,0.001706983,0.00396789],"category_scores_gemma":[0.0005460396,0.0001969366,0.0004554719,0.0007572994,0.001450176,0.00219245,0.002107784,0.001463572,0.0006358581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00133466,"about_ca_system_score_gemma":0.002821463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001850056,"about_ca_topic_score_gemma":0.005011036,"domain_scores_codex":[0.9995928,0.0001333105,0.00002696918,0.00005639254,0.000123688,0.0000668639],"domain_scores_gemma":[0.9996754,0.00009393919,0.0000713854,0.00001494333,0.00008738043,0.00005697879],"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":[0.0001674571,0.0002188806,0.004513287,0.01706693,0.0002539849,0.001212048,0.0009701913,0.003291992,0.04143948,0.1057193,0.03277914,0.7923673],"study_design_scores_gemma":[0.00001312316,0.0003384247,0.004833102,0.004658993,0.0001908314,0.001475388,0.002090454,0.001087741,0.01218341,0.06578766,0.9072748,0.0000661186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008565638,0.9507062,0.005589813,0.02051535,0.0009762511,0.00003567038,0.0001673567,0.00008614729,0.01335753],"genre_scores_gemma":[0.06881402,0.9154201,0.005570856,0.003277023,0.0006841058,0.00004327038,0.0001033743,0.00001759588,0.006069513],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00396789,"threshold_uncertainty_score":0.01327389,"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."}}