{"id":"W2548793585","doi":"10.3390/w8110503","title":"Microbial Community Assessment in Wetlands for Water Pollution Control: Past, Present, and Future Outlook","year":2016,"lang":"en","type":"article","venue":"Water","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Environmental science; Microbial population biology; Wetland; Scale (ratio); Geography; Ecology; Biology; Cartography","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":[0.0002665533,0.0001717235,0.000176584,0.00004257742,0.000156107,0.00003722723,0.0001350053,0.00008338362,0.0005340034],"category_scores_gemma":[7.173344e-7,0.00007593833,0.00004998305,0.00002130548,0.0001340455,0.0001925737,0.0001926825,0.0001072127,0.00007642642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001898458,"about_ca_system_score_gemma":0.000003446244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004034197,"about_ca_topic_score_gemma":0.0004921692,"domain_scores_codex":[0.9988868,0.0001362459,0.0002030279,0.0002306476,0.0001158632,0.0004274176],"domain_scores_gemma":[0.9996075,0.00002409333,0.00002306202,0.0002615845,0.000006242142,0.00007753039],"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":[0.0002400108,0.0001950742,0.3994386,0.00001427209,0.00004823021,0.00000743236,0.001463502,0.00001840674,0.580339,0.00001600706,0.002290582,0.01592891],"study_design_scores_gemma":[0.01606031,0.0005018708,0.4520446,0.00004205068,0.00006887169,0.00005817194,0.0002519501,0.0001126021,0.2561041,0.002016891,0.2721561,0.0005824977],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864345,0.000003665708,0.0002775637,0.01195765,0.0001683616,0.0005172744,0.00007062208,0.00002804576,0.0005423487],"genre_scores_gemma":[0.9982074,0.000005870599,0.0003667728,0.0001244156,0.0002389528,0.00008383847,0.00005635937,0.00001570958,0.0009006289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3242348,"threshold_uncertainty_score":0.5846963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0069172351082628,"score_gpt":0.2188428932801388,"score_spread":0.2119256581718759,"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."}}