{"id":"W4413400709","doi":"10.5539/ep.v14n2p9","title":"Quantification and Characterization of Microplastics in Selected Water Bodies in and around Dhaka City","year":2025,"lang":"en","type":"article","venue":"Environment and Pollution","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microplastics; Environmental science; Characterization (materials science); Fishery; Oceanography; Geography; Biology; Geology; Materials science; Nanotechnology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001507607,0.00008777413,0.0001068349,0.00008712353,0.00005205039,0.00001384028,0.00002257281,0.00006762185,0.00005115019],"category_scores_gemma":[0.00001475938,0.00007726318,0.00000560883,0.00007349112,0.0001527434,0.00009452961,0.00006190584,0.00006297911,0.000004428521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006356073,"about_ca_system_score_gemma":0.000003216001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001371898,"about_ca_topic_score_gemma":0.0001401928,"domain_scores_codex":[0.9993792,0.00003962212,0.0001985893,0.0001904957,0.00006426525,0.0001278198],"domain_scores_gemma":[0.9998528,0.00002120334,0.0000437865,0.00005774889,0.000001508519,0.00002294447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003299606,0.00003438794,0.3137923,0.00001528291,0.000002390831,3.176118e-7,0.0003689608,0.0001043986,0.6834957,0.00009459474,0.000005269384,0.002053431],"study_design_scores_gemma":[0.0003580618,0.00002843699,0.9655135,0.00002726938,0.000008705472,0.000001547767,0.00003516143,0.005057944,0.0278885,0.0002248506,0.000776981,0.00007903391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961531,0.00007013612,0.003303715,0.0001956834,0.00004329115,0.0001370404,0.00001791232,0.000003835584,0.0000752659],"genre_scores_gemma":[0.9989281,0.0007100622,0.0001198096,0.00002165099,0.000005497584,0.000004612205,0.00003867592,0.000003024072,0.0001686085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6556072,"threshold_uncertainty_score":0.3150701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006045387343900173,"score_gpt":0.1854477312729991,"score_spread":0.179402343929099,"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."}}