{"id":"W4401275075","doi":"10.1016/j.envres.2024.119717","title":"Syntrophic propionate degradation in anaerobic digestion facilitated by hydrochar: Microbial insights as revealed by genome-centric metatranscriptomics","year":2024,"lang":"en","type":"article","venue":"Environmental Research","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Science and Technology Commission of Shanghai Municipality; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Propionate; Degradation (telecommunications); Anaerobic digestion; Chemistry; Digestion (alchemy); Environmental chemistry; Metagenomics; Microbial biodegradation; Food science; Bacteria; Biology; Microbiology; Methane; Microorganism; Biochemistry; Chromatography; Gene; Genetics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002937008,0.0004012863,0.0003010443,0.0003098991,0.0001482935,0.0006813565,0.0001738444,0.0003432939,0.0003911738],"category_scores_gemma":[0.0001931839,0.0001822378,0.0003112502,0.0003469001,0.0001859406,0.0004673064,0.0003187964,0.0005774687,0.0001770516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415378,"about_ca_system_score_gemma":0.0004092061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007867639,"about_ca_topic_score_gemma":0.001387665,"domain_scores_codex":[0.9998599,0.00001848913,0.000005866691,0.00003092173,0.00004346041,0.00004126306],"domain_scores_gemma":[0.999926,0.00001669285,0.00001529021,0.000008642151,0.00001796818,0.00001539556],"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":[0.0002363598,0.00003113237,0.001170262,0.00005097192,0.00001431743,0.00006003915,0.00003970121,0.0003268136,0.9943433,0.0001469117,0.00002745803,0.003552805],"study_design_scores_gemma":[0.00002892617,0.000442757,0.04024756,0.00004732764,0.0001388126,0.0003426059,0.0007395579,0.01177495,0.9428793,0.0006995135,0.002623294,0.00003541895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941835,0.0008789973,0.003263877,0.0001255376,0.00002104553,0.00001553671,0.0006592102,0.00003507643,0.0008172241],"genre_scores_gemma":[0.995178,0.0009074159,0.002633834,0.00003944111,0.000007608722,0.00001196808,0.0006139927,0.00001141122,0.0005963327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007867639,"threshold_uncertainty_score":0.001752436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245346793516406,"score_gpt":0.2370631866557112,"score_spread":0.2246097187205472,"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."}}