{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004239625,0.0004453944,0.0002147751,0.002979044,0.001526025,0.001238571,0.0005425049,0.0003008764,0.001076709],"category_scores_gemma":[0.0007170751,0.0001553568,0.0002968894,0.002664462,0.0005159033,0.0002864507,0.0005695348,0.0002918073,0.0001649369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0175154,"about_ca_system_score_gemma":0.02814932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9675381,"about_ca_topic_score_gemma":0.9859359,"domain_scores_codex":[0.9992478,0.00002694362,0.00004084612,0.00006428301,0.0004707176,0.0001494125],"domain_scores_gemma":[0.998924,0.0000424948,0.0001403335,0.00001270997,0.0007460279,0.00013447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004786144,0.0002274301,0.7765421,0.0005903612,0.00008725235,0.0007178994,0.0009389359,0.004186114,0.07393029,0.00104821,0.002523552,0.1387292],"study_design_scores_gemma":[0.00001365601,0.000311075,0.9349221,0.00008511619,0.0001061839,0.000382034,0.002394046,0.007409382,0.0410894,0.0002196739,0.01301973,0.00004748163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893904,0.001307582,0.001341619,0.0002713318,0.000007524957,0.0001317838,0.002141265,0.00006049821,0.005347925],"genre_scores_gemma":[0.9913605,0.001129741,0.00250166,0.00008631226,0.000002672711,0.00001656859,0.001014045,0.000009325583,0.003879118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03246194,"threshold_uncertainty_score":0.1270837,"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."}}