{"id":"W2950105829","doi":"10.1016/j.chemosphere.2019.06.110","title":"Model naphthenic acids removal by microalgae and Base Mine Lake cap water microbial inoculum","year":2019,"lang":"en","type":"article","venue":"Chemosphere","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Naphthenic acid; Tailings; Oil sands; Biodegradation; Environmental chemistry; Microbial biodegradation; Microbial population biology; Degradation (telecommunications); Bioremediation; Botryococcus braunii; Enrichment culture; Chemistry; Environmental remediation; Pentachlorophenol; Pulp and paper industry; Asphalt; Microorganism; Bacteria; Hydrocarbon; Biology; Contamination; Organic chemistry; Ecology","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":[0.0001363866,0.0003822489,0.0003232734,0.0001702929,0.0002531923,0.0003559205,0.0003606863,0.0003595671,0.0009324859],"category_scores_gemma":[0.0001403448,0.000130632,0.000210443,0.0002733558,0.0001038315,0.0002083927,0.0001950886,0.0003782807,0.0002466215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004997601,"about_ca_system_score_gemma":0.0004120886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009383509,"about_ca_topic_score_gemma":0.009013074,"domain_scores_codex":[0.9998431,0.00001849947,0.00001133352,0.00003355813,0.00006154621,0.00003192827],"domain_scores_gemma":[0.999945,0.00001484847,0.000008300564,0.000005075543,0.00001569628,0.00001098934],"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":[0.0004521405,0.0001594236,0.001411296,0.0001212126,0.00001634669,0.00007828903,0.00003294136,0.002886902,0.9928125,0.0001451975,0.0001067805,0.001777094],"study_design_scores_gemma":[0.00004283338,0.001074901,0.003183238,0.000008685687,0.00002808597,0.00003297144,0.00008778276,0.01326781,0.9812751,0.00007020062,0.0009165148,0.00001191664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977391,0.00009195958,0.0007776077,0.00002636828,0.00001005205,0.00002729303,0.0004769277,0.00002770806,0.0008229851],"genre_scores_gemma":[0.9964322,0.000253032,0.001472502,0.0000184871,0.000003623475,0.00004345283,0.0005736564,0.000006174305,0.001196785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009383509,"threshold_uncertainty_score":0.01865774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005580434605417951,"score_gpt":0.1933282186103189,"score_spread":0.1877477840049009,"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."}}