{"id":"W2806199999","doi":"10.1111/lre.12219","title":"Selecting a suitable diversity index for a tropical Ramsar wetland site","year":2018,"lang":"en","type":"article","venue":"Lakes & Reservoirs Science Policy and Management for Sustainable Use","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environment and Climate Change Canada; University Grants Commission","keywords":"Wetland; Diversity index; Eutrophication; Environmental science; Species richness; Species diversity; Ecology; Biodiversity; Ramsar site; Alpha diversity; Species evenness; Biology; Nutrient","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003471796,0.0003074824,0.0003187243,0.003232985,0.0006682965,0.0006440912,0.0002660904,0.0001943916,0.000982782],"category_scores_gemma":[0.0005761053,0.0001044951,0.0003178992,0.00165316,0.0001592602,0.000248688,0.0004587741,0.0001606598,0.0002628356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002971548,"about_ca_system_score_gemma":0.0002964278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004817019,"about_ca_topic_score_gemma":0.01305857,"domain_scores_codex":[0.9997815,0.00003966364,0.00002786869,0.00004433736,0.00004979558,0.0000567498],"domain_scores_gemma":[0.9995719,0.00008697707,0.00008952612,0.00002111719,0.0001317606,0.00009880705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002447408,0.0001853625,0.8989829,0.0001040472,0.00007256118,0.0006080585,0.0007005709,0.003284141,0.02880344,0.0001746587,0.0005623432,0.06627721],"study_design_scores_gemma":[0.00001071636,0.0002175566,0.9781717,0.00001760347,0.00004207862,0.0003790931,0.001393242,0.01390067,0.004669932,0.0001614098,0.001012346,0.00002368214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959182,0.00003553186,0.002671759,0.0000113891,0.00000514236,0.00003886078,0.0003206947,0.0000328751,0.000965676],"genre_scores_gemma":[0.9912708,0.0000271739,0.00769694,0.000005219732,0.000004426517,0.00004039542,0.0006312534,0.000007003583,0.0003169006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004817019,"threshold_uncertainty_score":0.00957793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281442907154725,"score_gpt":0.2569095047835798,"score_spread":0.2440950757120325,"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."}}