{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003510388,0.0003107497,0.0002744767,0.002737793,0.002501716,0.002049983,0.000465781,0.000438264,0.001547477],"category_scores_gemma":[0.0007660942,0.0003409541,0.0002416619,0.003086185,0.0009708164,0.0005719387,0.0005033378,0.0002701823,0.0001971367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009177316,"about_ca_system_score_gemma":0.006604591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9324347,"about_ca_topic_score_gemma":0.9770038,"domain_scores_codex":[0.9992409,0.000016218,0.00002613007,0.0001454936,0.000401134,0.0001701262],"domain_scores_gemma":[0.9993054,0.00005108373,0.0001237776,0.00001556945,0.0004088458,0.00009539894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000420198,0.0000423531,0.7179876,0.0006513311,0.0002507883,0.0006711124,0.003831354,0.0005838892,0.1738947,0.0007649211,0.001831349,0.09907031],"study_design_scores_gemma":[0.00000299238,0.00002702937,0.9826673,0.00002460968,0.00005366464,0.0002334922,0.001818979,0.0002329603,0.008275439,0.0000759933,0.006566035,0.00002151838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901332,0.003296657,0.000481067,0.000270705,0.000009717726,0.00001711641,0.001324456,0.00002419968,0.004443039],"genre_scores_gemma":[0.9948359,0.002269139,0.0007923054,0.00009244095,0.000006636113,0.000005638735,0.0005287558,0.00001082387,0.001458504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06756526,"threshold_uncertainty_score":0.1359263,"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."}}