{"id":"W2013036648","doi":"10.1371/journal.pone.0114329","title":"Improved Methods for Capture, Extraction, and Quantitative Assay of Environmental DNA from Asian Bigheaded Carp (Hypophthalmichthys spp.)","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Notre Dame; U.S. Geological Survey; Canada Excellence Research Chairs, Government of Canada; Great Lakes Fishery Trust; National Science Foundation","keywords":"Environmental DNA; Hypophthalmichthys; DNA extraction; Biology; Silver carp; Carp; Extraction (chemistry); Invasive species; Population; Biodiversity; Fishery; Ecology; Polymerase chain reaction; Fish <Actinopterygii>; Chromatography; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003847692,0.0002275692,0.0003773091,0.00003581069,0.0001910474,0.00001452417,0.0001880502,0.0001161711,0.0005615985],"category_scores_gemma":[0.0001568221,0.0002268161,0.00007568673,0.00006455495,0.00055315,0.0002235927,0.0002588556,0.0001294836,0.00009690879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001642282,"about_ca_system_score_gemma":0.000001469515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004181536,"about_ca_topic_score_gemma":0.0000293434,"domain_scores_codex":[0.9984913,0.0001963788,0.0002658158,0.0005054507,0.0002775787,0.0002634423],"domain_scores_gemma":[0.9989094,0.0004971061,0.0002029233,0.0002731185,0.000004106122,0.0001133428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006370898,0.0006618091,0.09286259,0.00002170196,0.0002101405,5.573632e-7,0.0008182418,0.000002579018,0.9028107,0.00001862178,0.0001121073,0.002417248],"study_design_scores_gemma":[0.000894358,0.0004419932,0.548999,0.00002713745,0.0003416836,0.000001512882,0.001323772,0.001152008,0.4451105,0.0007832585,0.0005677187,0.0003570376],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913651,0.0002535403,0.005264964,0.0002122346,0.00006705072,0.0006032248,0.0003665363,0.00002889482,0.00183844],"genre_scores_gemma":[0.6636016,0.00006093835,0.3358571,0.00006873677,0.00002262807,0.00003040934,0.00003741923,0.00001774457,0.0003033799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4577002,"threshold_uncertainty_score":0.9249291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04121900311786883,"score_gpt":0.2701141207387591,"score_spread":0.2288951176208903,"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."}}