{"id":"W2092901810","doi":"10.1590/1519-6984.10613","title":"Biomass of macroinvertebrates and physicochemical characteristics of water in an Andean urban wetland of Colombia","year":2015,"lang":"en","type":"article","venue":"Brazilian Journal of Biology","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Universidad Nacional de Colombia","keywords":"Detritivore; Biomass (ecology); Trophic level; Ecology; Wetland; Biology; Invertebrate; Omnivore; Abundance (ecology); Organic matter; Environmental science; Predation","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":[0.00009894899,0.0003025612,0.0002546578,0.0009346206,0.000448695,0.000466616,0.0002165558,0.0001714728,0.0008153166],"category_scores_gemma":[0.0003555547,0.0001218726,0.0001288663,0.0007250782,0.0003552018,0.0002108523,0.0004407636,0.0001190612,0.00007785455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001300576,"about_ca_system_score_gemma":0.0004023615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2347941,"about_ca_topic_score_gemma":0.5089923,"domain_scores_codex":[0.9998801,0.00001725907,0.000009457951,0.00003333847,0.00001871232,0.00004115248],"domain_scores_gemma":[0.9998487,0.00002449739,0.00004998048,0.00000852973,0.0000348767,0.00003335202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002176617,0.00008970331,0.9696042,0.0001361296,0.00005339089,0.0003583497,0.003490045,0.0002430692,0.008685742,0.0001063408,0.0003022974,0.01671322],"study_design_scores_gemma":[0.000001909891,0.00001475512,0.9980491,0.000005956721,0.000007023668,0.00004443178,0.001328126,0.0001534827,0.0001163942,0.00001020575,0.0002638089,0.000004880446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999245,0.000116034,0.0000331994,0.00001242771,0.000001165103,0.000005422807,0.000179749,0.000002688499,0.0004041982],"genre_scores_gemma":[0.9994931,0.00008638654,0.00008534615,0.000004449982,0.000001129838,0.000005939772,0.0001484892,0.000001018263,0.0001740208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2347941,"threshold_uncertainty_score":0.4668548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309625130337079,"score_gpt":0.2210703903395616,"score_spread":0.2079741390361908,"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."}}