{"id":"W3006041793","doi":"10.1007/s11273-020-09708-1","title":"Bioassessment of benthic macroinvertebrates in wetlands: a paired comparison of two standardized sampling protocols","year":2020,"lang":"en","type":"article","venue":"Wetlands Ecology and Management","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Environment and Protected Areas","funders":"Environment and Climate Change Canada; Alberta Environment and Parks; Alberta Biodiversity Monitoring Institute","keywords":"Protocol (science); Environmental science; Transect; Wetland; Sampling (signal processing); Abundance (ecology); Benthic zone; Ecology; Hydrology (agriculture); Computer science; Biology; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.008000394,0.0004924036,0.0004352872,0.0006134011,0.0004772041,0.0006478973,0.0005925128,0.0004694802,0.0007492105],"category_scores_gemma":[0.01076933,0.0002763628,0.0004616149,0.0005991834,0.0007460244,0.0005412331,0.0006015991,0.0004634314,0.0001538712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110325,"about_ca_system_score_gemma":0.001362881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157973,"about_ca_topic_score_gemma":0.03163396,"domain_scores_codex":[0.9925725,0.002986616,0.0006399615,0.0008552752,0.002677262,0.0002682543],"domain_scores_gemma":[0.9906514,0.002415234,0.001918127,0.0007748432,0.003832323,0.000408206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03947437,0.01086932,0.3578134,0.001190804,0.001890708,0.0002410412,0.003196234,0.007028767,0.3286806,0.0007999879,0.001431574,0.2473831],"study_design_scores_gemma":[0.0007909421,0.0823862,0.8463027,0.00008273597,0.0007449114,0.0001711033,0.001270474,0.009144074,0.05441141,0.0003700235,0.004200578,0.0001248036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864832,0.0001498594,0.01024914,0.00001771834,0.00005727114,0.001483868,0.0001778781,0.00004408015,0.001336957],"genre_scores_gemma":[0.9570242,0.0002163423,0.03714308,0.00009921644,0.00003538687,0.003391504,0.0007198465,0.00002127709,0.001349134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01157973,"threshold_uncertainty_score":0.0423106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03967289718378317,"score_gpt":0.2955245444436339,"score_spread":0.2558516472598507,"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."}}