{"id":"W4385859554","doi":"10.1007/978-3-031-34593-7_59","title":"Let Us Talk About Microplastic Pollution in Drinking Water Treatment","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Microplastics; Filtration (mathematics); Water treatment; Environmental science; Coagulation; Water quality; Environmental engineering; Waste management; Environmental chemistry; Chemistry; Engineering; Medicine; Biology; Ecology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000132004,0.0005125808,0.0004032422,0.000324882,0.00005125574,0.00004113976,0.0001628197,0.0004414517,0.001105049],"category_scores_gemma":[0.00007238238,0.0004344835,0.0001058804,0.0001090682,0.00005033787,0.00007386636,0.0001439049,0.0005033175,0.0005542718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001266867,"about_ca_system_score_gemma":0.00001701327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004784928,"about_ca_topic_score_gemma":0.01369878,"domain_scores_codex":[0.9981802,0.00001081945,0.0004027358,0.0005436841,0.0002515852,0.0006110164],"domain_scores_gemma":[0.9994121,0.0001873266,0.00006504801,0.0002489682,0.000004148196,0.00008240231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001548883,0.00001860149,0.0002991593,0.00004316651,0.00002583319,0.0001718564,0.0002580351,0.9616417,0.03318987,0.0002357657,0.00004173772,0.004058733],"study_design_scores_gemma":[0.005286887,0.0009221205,0.01906206,0.006727724,0.0004184541,0.0003948512,0.000005662302,0.3894076,0.05324928,0.0158488,0.5016899,0.006986652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2004831,0.003320239,0.6619658,0.001290455,0.02567616,0.004669276,0.0008071426,0.001776934,0.1000109],"genre_scores_gemma":[0.9941597,0.0002768469,0.0004540351,0.00007128619,0.0003530695,0.00002321908,0.0001104432,0.0001338636,0.004417554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7936766,"threshold_uncertainty_score":0.9998107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007159511625438038,"score_gpt":0.1812901071964118,"score_spread":0.1741305955709737,"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."}}