{"id":"W2342408491","doi":"10.1038/srep24965","title":"The utility of DNA metabarcoding for studying the response of arthropod diversity and composition to land-use change in the tropics","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec en Outaouais","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Arthropod; Biodiversity; Tropics; Biology; Ecology; Litter; Plant litter; Ecosystem; Ordination; Agroforestry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008636144,0.0005076826,0.0002750086,0.001828129,0.0005000358,0.0004261201,0.0002618958,0.000283957,0.0003463969],"category_scores_gemma":[0.001350035,0.0002492145,0.0003317426,0.00171855,0.0003088144,0.0003851083,0.0003687747,0.0002598515,0.0001022398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003968246,"about_ca_system_score_gemma":0.000389848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008841486,"about_ca_topic_score_gemma":0.0178482,"domain_scores_codex":[0.9996074,0.0001159849,0.00002443637,0.0001519489,0.00006513923,0.00003514531],"domain_scores_gemma":[0.9991829,0.0001963735,0.0003244352,0.00006080739,0.0001600803,0.00007536029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002568843,0.00003766062,0.4503339,0.0004575017,0.0002798018,0.0001901945,0.001017101,0.001479547,0.5001705,0.0002582223,0.0002045433,0.0453142],"study_design_scores_gemma":[0.00001013925,0.0001632761,0.9746723,0.00003695877,0.0001282394,0.0002843531,0.000449686,0.004225828,0.0177367,0.0002432481,0.002024735,0.00002459234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9850685,0.001497615,0.01074218,0.0001013768,0.00001084011,0.00004342267,0.001652572,0.00005084614,0.0008327017],"genre_scores_gemma":[0.9636417,0.0009016427,0.03314094,0.0001134456,0.00001298983,0.00006429339,0.00171202,0.00002132893,0.0003915916],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008841486,"threshold_uncertainty_score":0.01758003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06757265027037843,"score_gpt":0.2600488527087248,"score_spread":0.1924762024383464,"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."}}