{"id":"W4386442442","doi":"10.1080/10643389.2023.2252310","title":"Microplastic pollution: Phytotoxicity, environmental risks, and phytoremediation strategies","year":2023,"lang":"en","type":"article","venue":"Critical Reviews in Environmental Science and Technology","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Jiangsu Planned Projects for Postdoctoral Research Funds; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Phytoremediation; Phytotoxicity; Environmental science; Pollution; Environmental engineering; Environmental protection; Environmental planning; Agronomy; Biology; Ecology; Soil science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007668913,0.0002004432,0.000236184,0.0002401176,0.0003318875,0.00005782857,0.0002248123,0.0001353299,0.0003399211],"category_scores_gemma":[0.0004494214,0.0001805571,0.00002030103,0.0008436425,0.004706454,0.0004201578,0.0005781666,0.0002311396,0.0006444947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002686108,"about_ca_system_score_gemma":0.00001732863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001826224,"about_ca_topic_score_gemma":0.00002883062,"domain_scores_codex":[0.9980943,0.00004517908,0.0003222331,0.0006095732,0.0003630992,0.0005656731],"domain_scores_gemma":[0.9994824,0.0001007256,0.00005586387,0.0001966658,0.000001537787,0.0001628265],"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":[0.00001132851,0.0001709384,0.05700804,0.00004848599,0.000002705953,0.00003945638,0.0001597868,0.00004299205,0.7619288,0.00523702,0.0008440476,0.1745064],"study_design_scores_gemma":[0.001006379,0.0005512975,0.854958,0.0001861628,0.00005633006,0.0003009833,0.001329475,0.01523784,0.01442755,0.0233275,0.08749984,0.001118675],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956456,0.002114533,0.0003969894,0.0006964085,0.0002701134,0.000352819,0.000035628,0.00005867458,0.0004292065],"genre_scores_gemma":[0.9878479,0.01144654,0.0004670536,0.0001170395,0.00004061416,0.00004306875,0.000006488732,0.000009019469,0.00002226419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7979499,"threshold_uncertainty_score":0.9980022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916474495456675,"score_gpt":0.2742457411814905,"score_spread":0.2550809962269238,"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."}}