{"id":"W2948574679","doi":"10.1021/acs.est.9b01517","title":"Human Consumption of Microplastics","year":2019,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":2580,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Tula Foundation; University of Victoria","funders":"Hakai Institute; Natural Sciences and Engineering Research Council of Canada; Liber Ero Foundation; U.S. Environmental Protection Agency","keywords":"Microplastics; Environmental science; Bottled water; Inhalation exposure; Consumption (sociology); Risk assessment; Exposure assessment; Environmental health; Environmental chemistry; Toxicology; Inhalation; Environmental engineering; Biology; Chemistry; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003686511,0.0002272782,0.0001665884,0.0009655943,0.000272905,0.0006020823,0.0001709028,0.0002329352,0.003268656],"category_scores_gemma":[0.00107639,0.0001389996,0.0004114859,0.001582834,0.0001979532,0.0003413178,0.0003494228,0.0001819298,0.0005129955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002832515,"about_ca_system_score_gemma":0.0002409383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007800518,"about_ca_topic_score_gemma":0.01296289,"domain_scores_codex":[0.9995666,0.00009663731,0.00003919842,0.0001085349,0.0001545925,0.00003439971],"domain_scores_gemma":[0.9993525,0.0001557909,0.0002553455,0.00006521641,0.0001432458,0.00002793119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002051848,0.00005028322,0.8994175,0.0004839628,0.0003123424,0.0002461607,0.000675856,0.0005222922,0.01093402,0.0005489519,0.001737621,0.0848658],"study_design_scores_gemma":[0.000002048719,0.00009863017,0.9763296,0.000125235,0.0001325419,0.0004395173,0.0005206978,0.0004489301,0.005003693,0.000334556,0.01655002,0.0000145197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788672,0.00421228,0.002427127,0.0003086259,0.00002904778,0.00004105029,0.004911692,0.00004816321,0.009154803],"genre_scores_gemma":[0.9899319,0.002915988,0.00228603,0.0001627415,0.00002315936,0.0000333777,0.001569553,0.00001326445,0.003063956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007800518,"threshold_uncertainty_score":0.0155102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004915886326721744,"score_gpt":0.2022135972693349,"score_spread":0.1972977109426132,"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."}}