{"id":"W2604907253","doi":"10.1016/j.watres.2017.04.017","title":"Advanced anaerobic digestion of municipal sludge using a novel and energy-efficient radio frequency pretreatment system","year":2017,"lang":"en","type":"article","venue":"Water Research","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anaerobic digestion; Environmental science; Waste management; Radio frequency; Activated sludge; Digestion (alchemy); Chemistry; Environmental engineering; Sewage treatment; Engineering; Methane; Telecommunications; Chromatography","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":[0.0004391922,0.0001124212,0.0001496369,0.0001651192,0.0003202785,0.00007670972,0.0001659577,0.0000696616,0.00001047259],"category_scores_gemma":[0.00002204678,0.00008348556,0.00003030103,0.00006549757,0.0001526894,0.0001398227,0.000091707,0.00012396,0.000005381112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002386035,"about_ca_system_score_gemma":0.0000138545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008677904,"about_ca_topic_score_gemma":0.00003242905,"domain_scores_codex":[0.9989545,0.00004338341,0.0001806819,0.0002199634,0.0002759951,0.0003255093],"domain_scores_gemma":[0.9993147,0.000006250842,0.00002986263,0.0004545803,0.0001127888,0.00008182563],"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":[0.00003474158,0.00008900944,0.000551338,0.0001301127,0.00005229188,0.000008602522,0.0008039186,0.02971495,0.9488032,0.01715467,0.00001413118,0.002643007],"study_design_scores_gemma":[0.002067474,0.0004371856,0.008128981,0.0006943587,0.000050013,0.00008951427,0.0009274218,0.1312383,0.8531404,0.000115172,0.002625037,0.0004861605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966029,0.0003095379,0.001338862,0.00006113952,0.0002379761,0.0001561223,0.000007915674,0.00007368511,0.001211862],"genre_scores_gemma":[0.9982276,0.00007891701,0.001360316,7.452676e-7,0.00005650241,0.00002052645,0.00001188747,0.00001972106,0.0002238101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1015233,"threshold_uncertainty_score":0.3404442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.056628001596817,"score_gpt":0.3054619999071097,"score_spread":0.2488339983102927,"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."}}