{"id":"W4380201310","doi":"10.1002/jeq2.20497","title":"How many microplastic particles are present in Canadian biosolids?","year":2023,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Environment and Climate Change Canada; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Biosolids; Microplastics; Environmental science; Sewage sludge; Sewage treatment; Ecosystem; Sewage; Pollution; Environmental chemistry; Terrestrial ecosystem; Wastewater; Environmental engineering; Ecology; Biology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007310397,0.0001414146,0.0002133516,0.00013037,0.00008935565,0.00005053123,0.0002036029,0.00007540259,0.0007294032],"category_scores_gemma":[0.0001313714,0.0001252412,0.00008503952,0.0002203921,0.0001663809,0.0002078578,0.0001006997,0.0002081087,0.0004791754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006672023,"about_ca_system_score_gemma":0.00002780034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008896878,"about_ca_topic_score_gemma":0.03035118,"domain_scores_codex":[0.9983761,0.0001383539,0.0004259093,0.0001815304,0.0003883309,0.0004898227],"domain_scores_gemma":[0.9990402,0.0001264989,0.0002963123,0.0001469881,0.000002250142,0.0003877041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006701823,0.0002057309,0.7749106,0.0000194708,0.00002322434,0.0002590155,0.000378136,0.003676892,0.2082975,0.00006908735,0.00880724,0.00328602],"study_design_scores_gemma":[0.000435865,0.00006774571,0.966568,0.00002134961,0.00001311948,0.00003906099,0.0004369217,0.001017451,0.003015597,0.0002893869,0.02793098,0.0001645226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976281,0.00006453792,0.0001202644,0.001382472,0.0004700297,0.00008712724,0.0001101597,0.000006537287,0.000130768],"genre_scores_gemma":[0.9992172,0.00008382067,0.0001469763,0.00009443617,0.0001396435,0.000001770919,0.000004675616,0.00001173872,0.0002997762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2052819,"threshold_uncertainty_score":0.997703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208549160444937,"score_gpt":0.2411078161766413,"score_spread":0.2202529001321476,"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."}}