{"id":"W2005645077","doi":"10.1016/j.biortech.2015.03.091","title":"In situ biodegradation of naphthenic acids in oil sands tailings pond water using indigenous algae–bacteria consortium","year":2015,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biodegradation; Tailings; Bacteria; Algae; Environmental chemistry; Biomass (ecology); Chemistry; Biotransformation; Bioremediation; Naphthenic acid; Botany; Biology; Ecology; Organic chemistry","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":[0.0002650298,0.0001879923,0.0003957217,0.0008925986,0.00003877828,0.00001918704,0.0003307333,0.0004972555,0.00005210049],"category_scores_gemma":[0.00008925156,0.0001599157,0.00005721928,0.0006383833,0.0002478803,0.00008131017,0.0001194066,0.0002826195,0.00001102856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001611744,"about_ca_system_score_gemma":0.00009467943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003981389,"about_ca_topic_score_gemma":0.000118727,"domain_scores_codex":[0.9985886,0.00002182231,0.0004803977,0.0003359323,0.0001575088,0.000415794],"domain_scores_gemma":[0.9993355,0.00001364665,0.0001735604,0.0003541746,0.00006991823,0.00005321609],"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":[0.00005422171,0.00009743061,0.05460178,0.00005319373,0.00002214605,0.00002642588,0.001165786,0.00001754649,0.939057,0.000007038921,0.000003828167,0.00489358],"study_design_scores_gemma":[0.00110507,0.00003386624,0.0001526658,0.000094284,0.00003590799,0.00004158916,0.001581976,0.0004105744,0.9933407,0.0002354233,0.002736674,0.0002313181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983485,0.0004633287,0.00002097168,0.0002656276,0.000023339,0.000007785985,0.000006813064,0.0001101536,0.0007534992],"genre_scores_gemma":[0.9986551,0.00001599337,0.0005569868,0.00002464802,0.00002641487,0.000005884708,0.00003516206,0.00002168753,0.0006581069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05444912,"threshold_uncertainty_score":0.6521171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631070601196139,"score_gpt":0.2484011098471311,"score_spread":0.2320904038351697,"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."}}