{"id":"W4297094038","doi":"10.1039/d2em00097k","title":"Persistent, mobile, and toxic plastic additives in Canada: properties and prioritization","year":2022,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"Environment and Climate Change Canada","keywords":"Prioritization; Wastewater; Plastic waste; Sewage treatment; Environmental science; Bioaccumulation; Environmental chemistry; Waste management; Chemistry; Environmental engineering; Engineering","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":[0.0001974995,0.0001360588,0.0001028973,0.00005992655,0.0005438518,0.00005461786,0.0001588902,0.00001415451,0.0007407601],"category_scores_gemma":[0.0001355803,0.0001249179,0.000008096186,0.0003708766,0.0005826713,0.0004479722,0.0004559771,0.0001197309,0.000006750407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136094,"about_ca_system_score_gemma":0.0003277127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0544983,"about_ca_topic_score_gemma":0.09408276,"domain_scores_codex":[0.9985057,0.0000274739,0.0001521358,0.0003972162,0.0005294717,0.0003879746],"domain_scores_gemma":[0.9995991,0.00006598538,0.0000682342,0.00007089821,0.000001652309,0.0001941221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009563581,0.0002478026,0.5360907,0.0001027187,0.000009190122,0.00003511811,0.005178133,0.03253334,0.4157287,0.0000163175,0.0002159651,0.00974639],"study_design_scores_gemma":[0.0004982578,0.0004193773,0.9697098,0.00004129938,0.00001661541,0.0001661691,0.006977871,0.01174482,0.008647376,0.0000431133,0.001306737,0.0004285749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986312,0.0006984106,0.00002040129,0.00003716186,0.00008216114,0.0002294865,0.00008540729,0.000007086069,0.0002086581],"genre_scores_gemma":[0.9995131,0.0002292266,0.00006151741,0.00008173924,0.000008092834,0.00004386455,0.000006670579,0.000007613321,0.00004819195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4336191,"threshold_uncertainty_score":0.9517979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007088485103311904,"score_gpt":0.1715821107409916,"score_spread":0.1644936256376797,"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."}}