{"id":"W4317857348","doi":"10.32920/21950690","title":"Persistent, mobile, and toxic plastic additives in Canada: properties and prioritization","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"Environment and Climate Change Canada","keywords":"Prioritization; Wastewater; Sewage treatment; Chemistry; Environmental science; Environmental chemistry; Waste management; 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":[0.0005779177,0.0006356479,0.0004164201,0.003397205,0.001557922,0.001572377,0.0007399751,0.0003904451,0.001214918],"category_scores_gemma":[0.0008246475,0.0002631889,0.0007395934,0.004013389,0.0005969284,0.0003977479,0.0007642359,0.0003966416,0.0002339776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01981969,"about_ca_system_score_gemma":0.03219112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9707147,"about_ca_topic_score_gemma":0.9809493,"domain_scores_codex":[0.9991804,0.00002973983,0.00003597045,0.00009904707,0.0004934529,0.0001613651],"domain_scores_gemma":[0.9989618,0.00005476729,0.0001496714,0.00001909131,0.0007305455,0.00008401861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004235984,0.00023451,0.7654203,0.001214828,0.0002172448,0.001175781,0.0009315181,0.01818911,0.1020592,0.001851241,0.002594585,0.1056881],"study_design_scores_gemma":[0.00001860481,0.0003284962,0.8604944,0.0001700433,0.0003373644,0.0004685027,0.003739758,0.03861914,0.07124821,0.000504504,0.02393745,0.0001336328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882324,0.001430885,0.002027682,0.00026056,0.000007659174,0.000124675,0.003035726,0.00006884967,0.004811483],"genre_scores_gemma":[0.9854169,0.002574257,0.004255117,0.0001162684,0.00000322561,0.00002718822,0.002971253,0.000024261,0.004611591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02928525,"threshold_uncertainty_score":0.1438026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968999971190579,"score_gpt":0.1850256104354205,"score_spread":0.1653356107235147,"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."}}