{"id":"W3094476405","doi":"10.1021/acs.estlett.0c00758","title":"Dechlorane Plus in the Global Atmosphere","year":2020,"lang":"en","type":"article","venue":"Environmental Science & Technology Letters","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Government of Canada","keywords":"Environmental science; Listing (finance); Sampling (signal processing); Atmosphere (unit); Range (aeronautics); Passive sampling; Air pollutants; Pollutant; Geography; Atmospheric sciences; Meteorology; Air pollution; Chemistry; Statistics; Mathematics; Physics; Engineering; Telecommunications; Business","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":[0.0001305873,0.0002979198,0.0001595429,0.0005962981,0.0002912343,0.0009290932,0.0001207602,0.0003259901,0.000988937],"category_scores_gemma":[0.0001246357,0.0001123803,0.0001797798,0.001131898,0.0002146926,0.0007137277,0.0005013121,0.0001949988,0.0002549556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008538081,"about_ca_system_score_gemma":0.0004087069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02799648,"about_ca_topic_score_gemma":0.03322743,"domain_scores_codex":[0.9998943,0.0000119793,0.000005068137,0.00003850757,0.00002560279,0.00002452819],"domain_scores_gemma":[0.9999267,0.000005479341,0.00001969175,0.000005724966,0.00003093837,0.0000114096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001344235,0.00004875358,0.8225275,0.0002936877,0.0001359454,0.0004818593,0.0005093336,0.004231581,0.09506366,0.001525881,0.002131396,0.07291615],"study_design_scores_gemma":[0.000007869446,0.0001239432,0.9584243,0.00003422663,0.00007265915,0.0001881194,0.0009091077,0.001438614,0.009851734,0.0005481913,0.02838348,0.00001781883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855414,0.00412948,0.0006777315,0.0004749328,0.00003189956,0.00001069949,0.002928489,0.00006679192,0.006138539],"genre_scores_gemma":[0.9933062,0.003305234,0.0008658181,0.0001627088,0.00002099651,0.000006240335,0.001342422,0.00001915523,0.0009711784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02799648,"threshold_uncertainty_score":0.05566704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005902761344417339,"score_gpt":0.2058930584401351,"score_spread":0.1999902970957178,"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."}}