{"id":"W1995609901","doi":"10.1016/j.chemosphere.2009.02.007","title":"Detecting oil sands process-affected waters in the Alberta oil sands region using synchronous fluorescence spectroscopy","year":2009,"lang":"en","type":"article","venue":"Chemosphere","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Environment and Climate Change Canada; University of Guelph","funders":"Syncrude; Suncor Energy Incorporated","keywords":"Oil sands; Naphthenic acid; Asphalt; Extraction (chemistry); Environmental chemistry; Fluorescence spectroscopy; Environmental science; Chemistry; Geology; Fluorescence; Chromatography; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001932652,0.0003466018,0.0003765405,0.00002809203,0.0003221138,0.0001950808,0.0005424835,0.0002115938,0.0001132541],"category_scores_gemma":[0.0001725122,0.0002624171,0.0001421566,0.000664384,0.00008701996,0.0001977549,0.0000282932,0.000522484,0.000009409653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120034,"about_ca_system_score_gemma":0.0001154266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002506639,"about_ca_topic_score_gemma":0.00008800814,"domain_scores_codex":[0.9980789,0.00003583835,0.0003620448,0.0005696018,0.0003328868,0.0006207326],"domain_scores_gemma":[0.999059,0.00007397861,0.0002024965,0.0005116165,0.00006362535,0.0000893356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009561328,0.0002174779,0.006149557,0.0005352393,0.00004739721,0.0001045563,0.002332772,0.0004734223,0.8533588,0.00000240246,0.00007742317,0.1366053],"study_design_scores_gemma":[0.001663152,0.00006475692,0.0005175267,0.001463851,0.0002191452,0.0002567443,0.003024266,0.02448287,0.966992,0.0001016747,0.0003527359,0.0008613065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616753,0.00042383,0.00007059795,0.0003388411,0.00002828036,0.000006186831,8.357932e-7,0.0001119013,0.03734417],"genre_scores_gemma":[0.9963071,0.00006607071,0.0006382792,0.0001718121,0.0002278911,0.000009995516,0.00001624489,0.00003164382,0.002530926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.135744,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009739107707963789,"score_gpt":0.2479687274079501,"score_spread":0.2382296196999863,"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."}}