{"id":"W4281706342","doi":"10.1680/jenes.22.00003","title":"Microplastic pollution in aquatic environments in Africa: status and research opportunities","year":2022,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microplastics; Plastic pollution; Environmental science; Pollution; Aquatic ecosystem; Pollutant; Trophic level; Food chain; Environmental protection; Environmental planning; Environmental resource management; Ecology; Biology","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":[0.001606706,0.00009123103,0.0001215268,0.0003881415,0.0001803169,0.00002957989,0.0001456207,0.00002019853,0.0001415992],"category_scores_gemma":[0.00008165286,0.00009014004,0.00001299875,0.0003076975,0.0004550819,0.0002485287,0.0003383243,0.0003631332,0.000003576847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007153412,"about_ca_system_score_gemma":0.00002591066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000494069,"about_ca_topic_score_gemma":0.00000639051,"domain_scores_codex":[0.9984477,0.00006045048,0.0002739009,0.0001842075,0.0006339879,0.0003998168],"domain_scores_gemma":[0.9995992,0.0001008614,0.00007296314,0.00006909872,5.429498e-7,0.0001573892],"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":[0.000074553,0.0003023396,0.06542602,0.00001088506,0.00000530808,0.000128892,0.00340895,0.1739904,0.7493159,0.0001402475,0.0001289363,0.007067558],"study_design_scores_gemma":[0.001170493,0.000676593,0.8971416,0.00005160802,0.00000948046,0.0003204186,0.002887168,0.07782619,0.000939736,0.0002941343,0.01838378,0.0002988002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989733,0.0004226457,0.0001678107,0.00005975426,0.0001751725,0.00006460243,0.000008784731,0.000001403338,0.0001265083],"genre_scores_gemma":[0.9990671,0.0004639117,0.0003531917,0.00001269661,0.00001368478,0.000003530267,4.402829e-7,0.000006094253,0.00007935854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8317156,"threshold_uncertainty_score":0.3675804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02995877726350215,"score_gpt":0.22607518255771,"score_spread":0.1961164052942078,"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."}}