{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008704967,0.0008367304,0.001190711,0.002710133,0.0002986339,0.002230966,0.0006396064,0.001028765,0.0009968471],"category_scores_gemma":[0.003604255,0.0002788037,0.001268008,0.002918081,0.0007039714,0.003295849,0.0008840115,0.00072145,0.0002138812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501039,"about_ca_system_score_gemma":0.003245536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006989758,"about_ca_topic_score_gemma":0.01472944,"domain_scores_codex":[0.9988562,0.0004284049,0.00007394267,0.0001487757,0.0003448889,0.0001478864],"domain_scores_gemma":[0.9954433,0.001290569,0.0006776699,0.0001490578,0.001840042,0.0005992457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004832551,0.0002541774,0.05170963,0.00598166,0.0005123284,0.0002310247,0.0005161221,0.002739817,0.02073628,0.001991175,0.004152418,0.910692],"study_design_scores_gemma":[0.000172971,0.005945297,0.5039697,0.01328836,0.004019031,0.001817631,0.01443352,0.04642364,0.05268839,0.03050191,0.3260626,0.0006768714],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1053711,0.8612232,0.01669003,0.011277,0.0003589127,0.00008116229,0.0005398606,0.000196256,0.004262552],"genre_scores_gemma":[0.4655323,0.4662871,0.0638812,0.001284034,0.000462183,0.00008677708,0.0006305616,0.00004039074,0.001795421],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008704967,"threshold_uncertainty_score":0.04603678,"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."}}