{"id":"W2797044331","doi":"10.1111/1751-7915.13264","title":"Microbial <scp>rRNA</scp> gene expression and co‐occurrence profiles associate with biokinetics and elemental composition in full‐scale anaerobic digesters","year":2018,"lang":"en","type":"article","venue":"Microbial Biotechnology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Energimyndigheten; National Science Foundation","keywords":"Mesophile; 16S ribosomal RNA; Methanogenesis; Propionate; Microbial consortium; Biology; Food science; Microbial population biology; Euryarchaeota; Ribosomal RNA; Archaea; Activated sludge; Environmental chemistry; Microbiology; Chemistry; Bacteria; Methane; Microorganism; Biochemistry; Gene; Sewage treatment; Ecology; Environmental science; Environmental engineering; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001023093,0.0002342333,0.0002264302,0.0002644475,0.0001044078,0.0000498547,0.0001149526,0.0003651585,0.00000749165],"category_scores_gemma":[0.000008932358,0.0002224919,0.00001926009,0.0002599234,0.0005382366,0.0001202629,0.00007930628,0.0002696705,0.00002189847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000909569,"about_ca_system_score_gemma":0.0000122646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001627224,"about_ca_topic_score_gemma":0.0001298012,"domain_scores_codex":[0.9988964,0.00003237105,0.0002448422,0.0003938446,0.00006970979,0.0003627991],"domain_scores_gemma":[0.9996578,0.00001451375,0.0000767916,0.0001603391,0.00003554075,0.00005501132],"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":[0.00002331991,0.0000454517,0.002293959,0.00001729127,0.00001381531,0.000004653878,0.000243727,0.00001524921,0.994485,0.00004265176,0.001677451,0.001137416],"study_design_scores_gemma":[0.0008873582,0.0003608453,0.003138769,0.0000842576,0.00001568139,0.0001204034,0.0001855025,0.00004900743,0.9892434,0.000009802489,0.005761879,0.000143069],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978167,0.0001629826,0.0006671997,0.0003736409,0.000245763,0.0003128542,0.0001368463,0.0002450778,0.00003892372],"genre_scores_gemma":[0.9944605,0.0003461084,0.00478615,0.00005543904,0.00008920155,0.000006734873,0.0002086466,0.00002114406,0.00002611416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005241588,"threshold_uncertainty_score":0.9072956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004769160598381713,"score_gpt":0.195148735070475,"score_spread":0.1903795744720933,"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."}}