{"id":"W2103575694","doi":"10.2144/000113362","title":"Direct PCR amplification and sequencing of specimens’ DNA from preservative ethanol","year":2010,"lang":"en","type":"article","venue":"BioTechniques","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Genomics Institute; Genome Canada","keywords":"Preservative; Polymerase chain reaction; Multiple displacement amplification; DNA; Applications of PCR; DNA sequencing; Biology; Gene duplication; Primer (cosmetics); Molecular biology; Digital polymerase chain reaction; DNA extraction; Chemistry; Genetics; Gene; Food science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009686028,0.000976985,0.0009260892,0.001532969,0.0005528124,0.0005067711,0.0009144499,0.000897056,0.002566127],"category_scores_gemma":[0.002924644,0.0006451015,0.001124478,0.0009876159,0.0007104239,0.0005618123,0.0006379876,0.001035481,0.003415727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002512895,"about_ca_system_score_gemma":0.0009991813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008900558,"about_ca_topic_score_gemma":0.002441519,"domain_scores_codex":[0.9988075,0.0001887179,0.0002120558,0.0004028934,0.0002881388,0.0001006092],"domain_scores_gemma":[0.9980193,0.0005389491,0.0003867261,0.0003993085,0.0005705857,0.00008501445],"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":[0.0001489493,0.00007005718,0.002616338,0.000349976,0.00002874455,0.0004531975,0.0003630858,0.000241414,0.9771644,0.0004021814,0.0002228843,0.01793863],"study_design_scores_gemma":[0.00004386065,0.0008931843,0.01574493,0.0001869027,0.0002371023,0.001444108,0.0005646442,0.002818137,0.9431659,0.001138418,0.03371783,0.00004491204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4702144,0.002909081,0.5024736,0.0003863292,0.0003363895,0.002521329,0.008721722,0.001540078,0.01089704],"genre_scores_gemma":[0.291783,0.00419861,0.6676932,0.0005683158,0.0001011783,0.001750426,0.0220232,0.0006053078,0.0112768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002566127,"threshold_uncertainty_score":0.008584559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395792225559454,"score_gpt":0.2303928720680899,"score_spread":0.2064349498124954,"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."}}