{"id":"W2306553942","doi":"10.1016/j.envpol.2016.03.014","title":"PAH distributions in sediments in the oil sands monitoring area and western Lake Athabasca: Concentration, composition and diagnostic ratios","year":2016,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Environment and Protected Areas; University of Saskatchewan; Environment and Climate Change Canada","funders":"","keywords":"Oil sands; Environmental science; Composition (language); Environmental chemistry; Geology; Asphalt; Hydrology (agriculture); Chemistry; Geotechnical engineering; Geography; 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":[0.00008084874,0.000188466,0.00009802778,0.001750169,0.0005001489,0.0003748521,0.0001700137,0.0001528104,0.0006870578],"category_scores_gemma":[0.0002441693,0.0001337905,0.0001098774,0.001186204,0.0002229612,0.0002274828,0.0002899349,0.00008172465,0.0001132702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005155221,"about_ca_system_score_gemma":0.0003219911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1241609,"about_ca_topic_score_gemma":0.20113,"domain_scores_codex":[0.9999248,0.000008136647,0.000009460737,0.00001839696,0.00001959224,0.00001968086],"domain_scores_gemma":[0.9998733,0.00001234398,0.00004970786,0.000004415052,0.0000361975,0.00002398666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004790268,0.0000561176,0.9327767,0.00004480323,0.00006733155,0.0003604663,0.0008096181,0.0006361659,0.05424697,0.0001495742,0.0001873286,0.01018591],"study_design_scores_gemma":[0.000003202402,0.00001777368,0.9976036,0.000001862416,0.00001352535,0.00008632344,0.0003002807,0.0003509599,0.001467822,0.00001591962,0.0001357345,0.000003109815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991571,0.00002340143,0.00004803407,0.000008499371,3.708671e-7,0.000002189714,0.0003462923,0.00000939328,0.0004047261],"genre_scores_gemma":[0.9994577,0.00001699663,0.0000806812,0.000003748704,5.235836e-7,0.000001883775,0.0001549792,0.000001394904,0.0002821007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8758391,"threshold_uncertainty_score":0.2468763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007542729414376677,"score_gpt":0.2117470201600439,"score_spread":0.2042042907456672,"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."}}