{"id":"W2087308927","doi":"10.1002/ece3.688","title":"Sweeping beauty: is grassland arthropod community composition effectively estimated by sweep netting?","year":2013,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Netting; Arthropod; Species richness; Species evenness; Ecology; Grassland; Abundance (ecology); Sampling (signal processing); Biodiversity; Biology; Environmental science; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005320403,0.0004952911,0.0007058787,0.00172173,0.0004608622,0.001116087,0.0006626081,0.0006706211,0.0004579467],"category_scores_gemma":[0.01155316,0.000326821,0.0005107058,0.001375624,0.0007813012,0.00130378,0.0005983154,0.0003668768,0.0002646985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002480851,"about_ca_system_score_gemma":0.0001822569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003639948,"about_ca_topic_score_gemma":0.009677567,"domain_scores_codex":[0.997111,0.001338186,0.0001881924,0.0008009202,0.000422069,0.0001396806],"domain_scores_gemma":[0.9903286,0.003400917,0.004137759,0.0008472283,0.001018278,0.0002672735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006084465,0.00001335112,0.9815819,0.00004016841,0.0002349123,0.00002309544,0.00009085656,0.0001788895,0.0009346144,0.00002151344,0.0001294175,0.01669041],"study_design_scores_gemma":[0.000003518766,0.00008803084,0.9955577,0.00002636262,0.00007964429,0.000155517,0.0001558121,0.00322495,0.0002331203,0.0001477881,0.0003176891,0.000009797755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816047,0.002994854,0.01285204,0.0002155961,0.00004455594,0.00005064638,0.0004726337,0.00008438042,0.001680603],"genre_scores_gemma":[0.9931961,0.0003503992,0.00564433,0.0001524148,0.00007082128,0.00002626933,0.0004122922,0.00001388114,0.0001334375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005320403,"threshold_uncertainty_score":0.02813733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126102978286127,"score_gpt":0.2149830998244882,"score_spread":0.193722070041627,"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."}}