{"id":"W1976670550","doi":"10.1111/1755-0998.12331","title":"Influence of killing method on <scp>L</scp>epidoptera <scp>DNA</scp> barcode recovery","year":2014,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Government of Canada; University of Guelph; Ontario Genomics Institute; Genome Canada","keywords":"Biology; Barcode; DNA; Microbiology; Molecular biology; Genetics; Computer science; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008975218,0.0004675201,0.0006347016,0.0002141592,0.0001840358,0.0000304763,0.0006998847,0.0008235585,0.000008901322],"category_scores_gemma":[0.002917761,0.0004470449,0.0003249332,0.0001878135,0.0003802016,0.00001247553,0.0003091301,0.0004052704,0.00008177521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002516503,"about_ca_system_score_gemma":0.00006999512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002635807,"about_ca_topic_score_gemma":0.00003182398,"domain_scores_codex":[0.9965143,0.0009394935,0.0006182474,0.0009760829,0.0001825113,0.0007694109],"domain_scores_gemma":[0.9972095,0.001109206,0.0004409844,0.0008714789,0.0001702422,0.000198535],"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":[0.0001629125,0.0006507332,0.1013428,0.0002135319,0.001370104,0.0001143089,0.0009638823,0.05391474,0.8130658,0.001181112,0.002580525,0.02443962],"study_design_scores_gemma":[0.00106416,0.002122691,0.01113139,0.00006346168,0.0001170757,0.00006581967,0.000178892,0.0003016573,0.5219247,0.0008409103,0.4619981,0.0001911528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594014,0.0004925255,0.007609058,0.0001423244,0.0002022946,0.0003189213,0.00002811922,0.00004172874,0.03176367],"genre_scores_gemma":[0.9902148,0.00009797256,0.005171006,0.003295622,0.0002515491,0.00008990034,0.00009736096,0.0000532604,0.0007285665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4594176,"threshold_uncertainty_score":0.9997981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006881691685501912,"score_gpt":0.2309009597613028,"score_spread":0.2240192680758009,"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."}}