{"id":"W2945875354","doi":"10.1021/acs.est.8b07032","title":"Global Historical Stocks and Emissions of PBDEs","year":2019,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":328,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Norges Forskningsråd","keywords":"Environmental science; Stock (firearms); Material flow analysis; Atmosphere (unit); Emission inventory; Environmental chemistry; Environmental engineering; Environmental protection; Waste management; Meteorology; Chemistry; Geography; Archaeology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001549726,0.0003799789,0.0001298948,0.001390698,0.0001663529,0.0006378824,0.0001356735,0.0002896178,0.003255001],"category_scores_gemma":[0.0003828087,0.0001800138,0.0002881089,0.003239273,0.0002125312,0.0008192682,0.0003279064,0.0001850805,0.001264479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005085841,"about_ca_system_score_gemma":0.0002028301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01091415,"about_ca_topic_score_gemma":0.01164702,"domain_scores_codex":[0.9999458,0.00000386433,0.000006367395,0.00002128609,0.00001078056,0.00001205097],"domain_scores_gemma":[0.9997922,0.00001402333,0.00008705276,0.00001593847,0.00007539848,0.00001547205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002482847,0.00002451843,0.8935534,0.0004506975,0.0003906356,0.0003798476,0.0005078315,0.008525744,0.004936298,0.005396579,0.009640419,0.0759458],"study_design_scores_gemma":[0.000005448403,0.00006451757,0.9477177,0.00008024304,0.0001096136,0.0006220771,0.0003063471,0.001282397,0.0009885163,0.001038712,0.04776424,0.00002013163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9183406,0.009027929,0.001291046,0.0006763941,0.00008021389,0.00001114619,0.04812928,0.0002196891,0.02222371],"genre_scores_gemma":[0.970117,0.006203918,0.0008463918,0.00009951618,0.00004947629,0.00001381593,0.019197,0.00002982492,0.003443035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01091415,"threshold_uncertainty_score":0.02170122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003821629654879425,"score_gpt":0.2097516808587722,"score_spread":0.2059300512038928,"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."}}