{"id":"W2264133883","doi":"10.1016/j.envpol.2016.01.060","title":"Forensic assessment of polycyclic aromatic hydrocarbons at the former Sydney Tar Ponds and surrounding environment using fingerprint techniques","year":2016,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Cape Breton University","funders":"Public Works and Government Services Canada; Government of Canada","keywords":"Coal tar; Environmental science; Environmental remediation; tar (computing); Environmental chemistry; Soil water; Sediment; Coal; Contamination; Coal combustion products; Pollution; Estuary; Soil contamination; Mining engineering; Environmental engineering; Waste management; Geology; Oceanography; Chemistry; Ecology; Soil science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004761247,0.0003116161,0.0002602561,0.00006634541,0.0003498689,0.00001842521,0.000229489,0.0001159911,0.0007909466],"category_scores_gemma":[0.00002454584,0.0001987167,0.0001027279,0.00009600574,0.0009890868,0.0003760658,0.0005496502,0.0001254585,0.0000849941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002883381,"about_ca_system_score_gemma":0.00001326731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001101306,"about_ca_topic_score_gemma":0.00002456691,"domain_scores_codex":[0.997836,0.000127761,0.0004566349,0.0004569358,0.0006094384,0.0005132282],"domain_scores_gemma":[0.9988905,0.00008607471,0.0003178555,0.0005342503,6.022109e-8,0.0001712313],"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":[0.00001359411,0.00007482267,0.02377981,0.000001688456,0.00002864433,0.00000226129,0.000195,0.000008324981,0.9264292,0.000007505581,0.00002599055,0.04943317],"study_design_scores_gemma":[0.0005508682,0.000208297,0.7693324,0.00007126771,0.00009474556,0.0001549828,0.0002134652,0.000976657,0.2265692,0.0008306273,0.0006020654,0.000395441],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947718,0.0001145089,0.0031223,0.0006285934,0.00008651081,0.0004489681,0.00006577611,0.00004202232,0.0007194906],"genre_scores_gemma":[0.9976474,0.0001331961,0.001620305,0.000147377,0.00003559828,0.00001485289,0.000002459599,0.00004330042,0.0003555282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7455526,"threshold_uncertainty_score":0.8660311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082521296384688,"score_gpt":0.2389660769573325,"score_spread":0.2281408639934856,"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."}}