{"id":"W1987536411","doi":"10.1139/f10-045","title":"Long-term functional group recovery of lotic macroinvertebrates from logging disturbance","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Environmental science; Benthic zone; Biomass (ecology); Logging; STREAMS; Hydrology (agriculture); Ecology; River ecosystem; Watershed; Detritus; Ecosystem; Disturbance (geology); Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001989751,0.00009744101,0.0001341927,0.0004550523,0.0002806163,0.0003601374,0.0001771538,0.0001708272,0.0006715911],"category_scores_gemma":[0.0006528131,0.0001114986,0.0001560511,0.0002056016,0.0002413757,0.00026008,0.0002980318,0.0001906128,0.0001186823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003158441,"about_ca_system_score_gemma":0.0002014028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01096677,"about_ca_topic_score_gemma":0.0386643,"domain_scores_codex":[0.9998566,0.00001963265,0.00001327259,0.00003662301,0.00003491957,0.00003900348],"domain_scores_gemma":[0.999468,0.00004881899,0.0001950253,0.0000497869,0.00009521421,0.0001431879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001553052,0.0000789065,0.9810555,0.000007111052,0.00004521235,0.0001107066,0.0002557815,0.00009090549,0.01434493,0.000009739309,0.00007113824,0.003774882],"study_design_scores_gemma":[4.844537e-7,0.0000269969,0.9997123,5.200112e-7,0.000002357559,0.00002223319,0.00004335721,0.00005845668,0.0001108213,0.000002059357,0.000019598,7.745367e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998561,0.000008824552,0.0000172495,0.000002297039,2.954717e-7,0.000001176702,0.00005080353,8.695559e-7,0.00006240539],"genre_scores_gemma":[0.9994832,0.000009711384,0.00003234077,0.00000619376,8.125421e-7,0.000003060332,0.0003073086,6.895574e-7,0.0001566119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01096677,"threshold_uncertainty_score":0.02180588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264710155501954,"score_gpt":0.1769591851073957,"score_spread":0.1643120835523761,"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."}}