{"id":"W4294579447","doi":"10.1016/j.biortech.2022.127852","title":"Exploring key factors in anaerobic syntrophic interactions: Biomass activity, microbial community, and morphology","year":2022,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Granule (geology); Biomass (ecology); Microbial population biology; Chemistry; Bacteria; Anaerobic exercise; Pulp and paper industry; Sewage treatment; Environmental chemistry; Biology; Ecology; Environmental engineering; Environmental science","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":[0.000435875,0.0004157527,0.0003643432,0.0006916657,0.0003482482,0.0009347711,0.0002323809,0.0004593959,0.001032884],"category_scores_gemma":[0.000857785,0.0001983956,0.0002275685,0.0005840743,0.0004072962,0.001030149,0.0005236724,0.000286121,0.0001774094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002250013,"about_ca_system_score_gemma":0.0004363433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001683225,"about_ca_topic_score_gemma":0.003311653,"domain_scores_codex":[0.9997879,0.00004661112,0.00001939534,0.00004124517,0.00006108864,0.00004376872],"domain_scores_gemma":[0.9996475,0.0001181184,0.00008456368,0.00001214302,0.00006529834,0.00007236854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003101302,0.00008232128,0.024616,0.00009477923,0.00001628446,0.00008791867,0.0001428704,0.0001412745,0.9701744,0.00008056907,0.00002250077,0.004230904],"study_design_scores_gemma":[0.00001868101,0.0007461227,0.5679996,0.0000323637,0.00006743951,0.0004013554,0.001885841,0.002914078,0.4244455,0.0004792347,0.0009851337,0.00002468472],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985759,0.0002376964,0.0005502138,0.00003768001,0.00000396003,0.00001323303,0.0001096277,0.000005747524,0.0004659344],"genre_scores_gemma":[0.9986815,0.0001734344,0.000545751,0.00001330672,0.000003828822,0.00001305694,0.0001197773,0.00000391734,0.000445514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001683225,"threshold_uncertainty_score":0.003455341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04868763486610273,"score_gpt":0.2327827901296389,"score_spread":0.1840951552635361,"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."}}