{"id":"W4387613606","doi":"10.1016/j.chemosphere.2023.140423","title":"Atmospheric emissions estimation of polycyclic aromatic compounds from an oil sands tailings pond using passive air samplers","year":2023,"lang":"en","type":"article","venue":"Chemosphere","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Tailings; Oil sands; Environmental science; Environmental chemistry; Particulates; Environmental engineering; Chemistry; Archaeology","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":[0.0001481903,0.000232064,0.0001896254,0.0002599972,0.0003532538,0.0003059717,0.0001852076,0.0002640293,0.0004320176],"category_scores_gemma":[0.0001917356,0.0001366599,0.0002180037,0.0002051135,0.0001656504,0.0002217606,0.0003106893,0.0002120038,0.0001474762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003209763,"about_ca_system_score_gemma":0.0003906566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007226794,"about_ca_topic_score_gemma":0.01388189,"domain_scores_codex":[0.9998165,0.0000186478,0.000007172424,0.00004698341,0.00009420932,0.00001655444],"domain_scores_gemma":[0.999917,0.00002266383,0.00001268297,0.0000053788,0.00003482301,0.000007433377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002960526,0.0001491468,0.08286888,0.00006607149,0.00002477251,0.000123405,0.0001551895,0.001687158,0.8966712,0.00006069923,0.0001203392,0.01777703],"study_design_scores_gemma":[0.00004218157,0.0007096254,0.1830064,0.00001288067,0.00007767765,0.0001640991,0.0003789337,0.03252145,0.7812036,0.0001387461,0.001721798,0.00002271254],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961804,0.0000281008,0.002811346,0.00001366523,0.000003589453,0.00001535333,0.00010958,0.00005149037,0.0007865286],"genre_scores_gemma":[0.9961892,0.00005769663,0.002397952,0.00001245921,0.000002449081,0.00001257692,0.00008910673,0.000004578319,0.001233929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007226794,"threshold_uncertainty_score":0.01436949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562941587427754,"score_gpt":0.266104984898987,"score_spread":0.2504755690247095,"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."}}