{"id":"W4281479331","doi":"10.1186/s43591-022-00030-6","title":"Development and application of a health-based framework for informing regulatory action in relation to exposure of microplastic particles in California drinking water","year":2022,"lang":"en","type":"article","venue":"Microplastics and Nanoplastics","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; University of Toronto","funders":"Rijkswaterstaat; Medical Research Council; Horizon 2020 Framework Programme; California State Water Resources Control Board; Norges Forskningsråd; ZonMw; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Food Safety Authority; United Nations Foundation; Environment and Climate Change Canada; World Health Organization; European Commission; American Chemistry Council; European Chemical Industry Council; National Science Foundation","keywords":"Relation (database); Action (physics); Environmental health; Environmental planning; Environmental science; Computer science; Data mining; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006096283,0.0001651922,0.0002858978,0.0002407841,0.000198273,0.00001206927,0.00008034919,0.00008123504,0.00001867361],"category_scores_gemma":[0.0001557935,0.0001607944,0.00002187437,0.0002868138,0.00008578029,0.00004705167,0.0001733021,0.0001625231,0.000002762551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002514306,"about_ca_system_score_gemma":0.00007259163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008252844,"about_ca_topic_score_gemma":0.0004769196,"domain_scores_codex":[0.9983369,0.0000531101,0.0007634358,0.0002932478,0.0002248686,0.0003284781],"domain_scores_gemma":[0.9991117,0.0004214847,0.000250492,0.0001168707,0.00001921866,0.00008023187],"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":[0.0006134821,0.0002654639,0.1658701,0.0004254905,0.00001606358,0.00000198571,0.004119669,0.2647586,0.5157999,0.00130155,0.00004316136,0.04678451],"study_design_scores_gemma":[0.005219501,0.001718744,0.3666164,0.0007513668,0.00008437838,0.00003822975,0.001643069,0.3187743,0.2686954,0.002722716,0.03248512,0.001250829],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7329772,0.00005560474,0.2663821,0.00003851991,0.0001471131,0.0003376275,0.00005436962,0.00000579662,0.000001677297],"genre_scores_gemma":[0.9451658,0.00001173495,0.05464863,0.0000425564,0.00001402481,0.00005874157,0.00003794587,0.00001717645,0.000003412458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2471045,"threshold_uncertainty_score":0.6557007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159927526911452,"score_gpt":0.2224850765679067,"score_spread":0.2108858012987922,"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."}}