{"id":"W4405998178","doi":"10.1016/j.hazadv.2024.100578","title":"Insightful analytical review of potential impacts of microplastic pollution on coastal and marine ecosystem services","year":2025,"lang":"en","type":"article","venue":"Journal of Hazardous Materials Advances","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"EnGlobe (Canada)","funders":"International Atomic Energy Agency","keywords":"Environmental science; Pollution; Microplastics; Marine pollution; Ecosystem; Marine ecosystem; Ecosystem services; Environmental resource management; Oceanography; Environmental planning; 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":[0.0004575729,0.0001391322,0.0005174387,0.0001035192,0.00004140325,0.00001960843,0.0001338466,0.0000498236,0.0004329316],"category_scores_gemma":[0.0001086168,0.0001005834,0.00006713533,0.0001426794,0.00009554113,0.0001746593,0.0001182778,0.00006690931,0.000006425019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000469946,"about_ca_system_score_gemma":0.00003794044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005461605,"about_ca_topic_score_gemma":0.00008917559,"domain_scores_codex":[0.9985217,0.0001006741,0.0008188484,0.0001267959,0.0002815945,0.0001503163],"domain_scores_gemma":[0.9988863,0.00007740427,0.0008119448,0.00009966949,0.00005572953,0.00006893108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001332438,0.0002460872,0.002712544,0.009473805,0.000124422,0.0000336717,0.00005192845,0.00131964,0.978632,0.0003810886,0.0009631513,0.004729271],"study_design_scores_gemma":[0.004322377,0.00378577,0.1286836,0.04183836,0.001316687,0.0009858371,0.0002134286,0.001257067,0.7914848,0.002259593,0.02309106,0.0007613996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943945,0.003166987,0.0006086347,0.0001411821,0.00107577,0.0001158901,0.0001896334,0.000003171365,0.0003041884],"genre_scores_gemma":[0.9895532,0.009836813,0.0004215776,0.00007518591,0.0000791711,5.241241e-7,0.000005135874,0.000005619746,0.00002284343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1871471,"threshold_uncertainty_score":0.4740298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002928447709953071,"score_gpt":0.2205132951354407,"score_spread":0.2175848474254877,"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."}}