{"id":"W3019570704","doi":"10.1002/wer.1347","title":"A high‐rate anaerobic biofilm reactor for biomethane recovery from source‐separated blackwater at ambient temperature","year":2020,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blackwater; Biogas; Hydraulic retention time; Methanosarcina; Chemical oxygen demand; Pulp and paper industry; Chemistry; Wastewater; Bioreactor; Methane; Biofilm; Anaerobic digestion; Sewage treatment; Environmental chemistry; Waste management; Environmental science; Environmental engineering; Bacteria; Biology; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004849162,0.0002662256,0.0002526783,0.0001706595,0.0001494163,0.0001158088,0.0002294154,0.0002205209,0.001827443],"category_scores_gemma":[0.00001960274,0.0001933448,0.0001002872,0.0002019784,0.0001309776,0.0001796854,0.0001785194,0.0003573053,0.002472852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003479752,"about_ca_system_score_gemma":0.00000803982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009404497,"about_ca_topic_score_gemma":0.000005258655,"domain_scores_codex":[0.9978138,0.000144832,0.000297815,0.0006340654,0.0004020462,0.000707435],"domain_scores_gemma":[0.9992629,0.00004171196,0.00002148327,0.0003679427,0.00003222806,0.0002737205],"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":[0.0002552498,0.0000471343,0.00007477032,0.00002173131,0.00009692152,0.000007782686,0.0003739742,0.005156941,0.9715338,0.00001622683,0.02201864,0.0003968349],"study_design_scores_gemma":[0.0005517494,0.0003035209,0.0004943364,0.00001038832,0.00001444237,9.718974e-7,0.00005111454,0.0005575694,0.7421122,0.00004666243,0.2556372,0.0002198388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948342,0.0001290585,0.0002848509,0.003362796,0.0002757925,0.0007071164,0.0001414266,0.0002129415,0.00005175874],"genre_scores_gemma":[0.9915242,0.0004043031,0.0008049457,0.000200063,0.0004972196,0.0001423999,0.001680175,0.00008144107,0.004665287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2336186,"threshold_uncertainty_score":0.999085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03224683270279426,"score_gpt":0.2443922667059439,"score_spread":0.2121454340031497,"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."}}