{"id":"W4387730779","doi":"10.1007/s11270-023-06677-y","title":"Microplastics in Freshwater and Drinking Water: Sources, Impacts, Detection, and Removal Strategies","year":2023,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"King Fahd University of Petroleum and Minerals","keywords":"Microplastics; Environmental science; Human health; Water treatment; Freshwater ecosystem; Environmental planning; Business; Ecosystem; Environmental engineering; Environmental chemistry; Environmental health; Ecology; Biology; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005120199,0.0004947633,0.0004156443,0.001064023,0.0004960307,0.001175352,0.00036019,0.000725901,0.0006927955],"category_scores_gemma":[0.0004466076,0.0002519097,0.0003745504,0.0007334935,0.0004667793,0.0007984472,0.0007287136,0.0004526219,0.0002058103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119009,"about_ca_system_score_gemma":0.001033599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00625337,"about_ca_topic_score_gemma":0.009945256,"domain_scores_codex":[0.9995778,0.00006378071,0.00002350567,0.00007363159,0.0001881249,0.00007317161],"domain_scores_gemma":[0.9997603,0.00005932337,0.00007783371,0.000007639894,0.00007340173,0.00002150317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005970426,0.000362303,0.09642995,0.002453754,0.0001609717,0.0007126507,0.0004158482,0.005257902,0.497979,0.004459618,0.001718573,0.3894523],"study_design_scores_gemma":[0.00002121038,0.001594098,0.1588512,0.0006630775,0.0002831408,0.002308846,0.002061361,0.01635434,0.7694208,0.004978337,0.04333881,0.0001247544],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8967831,0.07301041,0.01845076,0.002560756,0.00009952796,0.0001264706,0.0005772508,0.0001057838,0.008286005],"genre_scores_gemma":[0.9425414,0.04456493,0.007704317,0.0003310883,0.0000730661,0.00005026105,0.0001776857,0.00001397418,0.004543285],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00625337,"threshold_uncertainty_score":0.01243395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005714833149593763,"score_gpt":0.1898121799280818,"score_spread":0.184097346778488,"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."}}