{"id":"W2758563636","doi":"10.1139/gen-2018-0093","title":"Expedited assessment of terrestrial arthropod diversity by coupling Malaise traps with DNA barcoding","year":2018,"lang":"en","type":"article","venue":"Genome","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Guelph","funders":"Ontario Ministry of Research and Innovation; Parks Canada","keywords":"DNA barcoding; Arthropod; Biology; Biodiversity; National park; Ecology; Abundance (ecology)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.003717921,0.0008784069,0.0005579914,0.004453641,0.001228358,0.001396836,0.001159742,0.0006223082,0.002512176],"category_scores_gemma":[0.004594762,0.0007282055,0.0005583112,0.002107097,0.0009259683,0.00138471,0.002475858,0.0009396005,0.001371821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006332887,"about_ca_system_score_gemma":0.001169941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008204543,"about_ca_topic_score_gemma":0.05894749,"domain_scores_codex":[0.997061,0.0008318762,0.0002278737,0.0008253226,0.0008421656,0.0002118417],"domain_scores_gemma":[0.9958161,0.0008610522,0.001077644,0.0008069513,0.001192185,0.0002460755],"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":[0.0001953362,0.000242896,0.2094566,0.0005488553,0.0003108809,0.0001812887,0.002296512,0.001463335,0.641651,0.001025822,0.001346087,0.1412814],"study_design_scores_gemma":[0.00005468734,0.001052895,0.7534953,0.0001760773,0.0002826054,0.0007062959,0.00173704,0.01013263,0.192065,0.001296106,0.03883242,0.0001691162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.587305,0.001568953,0.3862201,0.0004392089,0.0001378297,0.004826125,0.009830086,0.00139408,0.008278628],"genre_scores_gemma":[0.3651212,0.001354737,0.614741,0.0005255595,0.00005643686,0.004473753,0.008527302,0.0002249641,0.004974971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008204543,"threshold_uncertainty_score":0.01966244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701988997700853,"score_gpt":0.227279690588482,"score_spread":0.2102598006114735,"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."}}