{"id":"W2949853101","doi":"10.1111/1755-0998.13006","title":"Optimized DNA extraction and library preparation for minute arthropods: Application to target enrichment in chalcid wasps used for biocontrol","year":2019,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Insect symbiosis and bacterial influences","field":"Agricultural and Biological Sciences","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"University of California, Riverside; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Institut National de la Recherche Agronomique; Autoritatea Natională pentru Cercetare Stiintifică; De La Salle University; Agence Nationale de la Recherche; Commonwealth Scientific and Industrial Research Organisation; National Science Foundation","keywords":"Biology; DNA extraction; Genotyping; Phylogenetic tree; Computational biology; Evolutionary biology; Genetics; Gene; Polymerase chain reaction; Genotype","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002001279,0.0001183902,0.0002158375,0.00003193896,0.00009880991,0.00006862093,0.0001042775,0.0001389635,0.00006941893],"category_scores_gemma":[0.00002464139,0.00005905358,0.00006393903,0.0001103883,0.0000261737,0.0001399284,0.00003053595,0.00003486755,0.00000843962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001567482,"about_ca_system_score_gemma":0.000005702427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002856542,"about_ca_topic_score_gemma":0.0001052936,"domain_scores_codex":[0.9990626,0.00007048354,0.000232274,0.0003562333,0.00005836301,0.0002200443],"domain_scores_gemma":[0.9995859,0.000172863,0.0001114996,0.00005306048,0.00002688551,0.00004974164],"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":[0.0004309207,0.00007397816,0.004927571,0.00001142027,0.00001363627,5.621824e-7,0.0001689521,0.00015451,0.9916682,0.0001472073,0.00007149176,0.002331511],"study_design_scores_gemma":[0.003116977,0.004586346,0.1709506,0.00003598212,0.00004620242,0.00001039306,0.0005788395,0.005297125,0.645322,0.002160157,0.1672389,0.0006564226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937217,0.0001134289,0.0003378692,0.003041807,0.0001011114,0.00255413,0.00003608652,0.00003297154,0.0000609605],"genre_scores_gemma":[0.995583,0.000009773288,0.002317829,0.0006904305,0.0000988721,0.001028649,0.0001476663,0.000002105621,0.0001216836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3463462,"threshold_uncertainty_score":0.2408135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005813353375251904,"score_gpt":0.231341596006272,"score_spread":0.2255282426310201,"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."}}