{"id":"W4372218463","doi":"10.1002/9781119879534.ch21","title":"Microplastics in Salt and Drinking Water","year":2023,"lang":"en","type":"other","venue":"","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Microplastics; Environmental science; Bottled water; Food chain; Human health; Contamination; Plastic pollution; Pollutant; Marine debris; Environmental protection; Environmental chemistry; Environmental engineering; Environmental health; Ecology; Geography; Chemistry; Biology; Debris","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":[0.0003957483,0.0003779039,0.0001763391,0.001586498,0.0006839396,0.001470107,0.000440051,0.0007673146,0.01563608],"category_scores_gemma":[0.0006837486,0.0001032475,0.0002404041,0.001238466,0.0005643586,0.0008517124,0.001464361,0.0002781866,0.005560483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009803702,"about_ca_system_score_gemma":0.001103097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007793508,"about_ca_topic_score_gemma":0.01223944,"domain_scores_codex":[0.9994116,0.00004766904,0.00003771593,0.00006580963,0.0003996775,0.00003741886],"domain_scores_gemma":[0.9997099,0.00003836189,0.00006598968,0.00001924841,0.0001275613,0.00003894825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002461214,0.0002560274,0.02084459,0.002591141,0.00003000693,0.001571166,0.0006713856,0.001558321,0.1105856,0.04145125,0.05090182,0.7692925],"study_design_scores_gemma":[0.000009002747,0.0001765599,0.02016317,0.0007015564,0.00002362343,0.001229714,0.0005119515,0.001038395,0.07772278,0.0111332,0.8872575,0.0000326321],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1395557,0.08795965,0.009832135,0.008563007,0.001486586,0.000286901,0.003907609,0.000542308,0.7478661],"genre_scores_gemma":[0.4369173,0.1131374,0.0123436,0.001982875,0.0008849895,0.0001741292,0.002215237,0.0002232184,0.4321213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01563608,"threshold_uncertainty_score":0.0523079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006182893905282262,"score_gpt":0.1897727743435234,"score_spread":0.1835898804382411,"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."}}