{"id":"W1998472796","doi":"10.1016/j.chemosphere.2009.02.026","title":"Estimating the in situ biodegradation of naphthenic acids in oil sands process waters by HPLC/HRMS","year":2009,"lang":"en","type":"article","venue":"Chemosphere","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":244,"is_retracted":false,"has_abstract":false,"ca_institutions":"Syncrude (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Water Network","keywords":"Biodegradation; Oil sands; Naphthenic acid; Land reclamation; Environmental chemistry; Chemistry; Fraction (chemistry); Environmental science; Ecology; Chromatography; Organic chemistry; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002708833,0.0005271796,0.0002149193,0.0006030219,0.0003704145,0.000340512,0.0002430305,0.0003404282,0.001183574],"category_scores_gemma":[0.0004391575,0.0002446262,0.0002068792,0.0002843539,0.0001724962,0.000297965,0.0002010952,0.0002546058,0.0004856354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004094082,"about_ca_system_score_gemma":0.0004337509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047804,"about_ca_topic_score_gemma":0.01377605,"domain_scores_codex":[0.9997706,0.00002742651,0.00001538045,0.0000594851,0.0000971346,0.00002998627],"domain_scores_gemma":[0.9998465,0.000051365,0.00002456679,0.000008485645,0.00005850184,0.00001055195],"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":[0.0001237827,0.0000204341,0.002933456,0.00003122135,0.000013295,0.00002511962,0.00004338112,0.0002992407,0.9912857,0.00002638306,0.00003432626,0.005163559],"study_design_scores_gemma":[0.000004312102,0.00007773677,0.005732262,0.000002332702,0.00001758488,0.00003549287,0.00004715872,0.001972482,0.9916625,0.00001810143,0.0004243229,0.000005753887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989482,0.0002253764,0.008288351,0.00003091084,0.000009041875,0.00003176869,0.000645521,0.0001287546,0.00115826],"genre_scores_gemma":[0.983039,0.0005155085,0.01257103,0.00003096001,0.000006274529,0.00003468495,0.0007136277,0.00001987895,0.003068944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01047804,"threshold_uncertainty_score":0.02083415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006611781518482515,"score_gpt":0.2394546474166991,"score_spread":0.2328428658982166,"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."}}