{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001338868,0.0001063979,0.0001238789,0.00002180203,0.00008587315,0.000009914964,0.0001644873,0.000113596,0.0003893216],"category_scores_gemma":[0.00004242699,0.00009938611,0.00002542167,0.00007370579,0.0004962183,0.0001566277,0.0003426799,0.000127826,0.00004096964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008265522,"about_ca_system_score_gemma":0.000001514124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001587002,"about_ca_topic_score_gemma":0.00007906726,"domain_scores_codex":[0.9992874,0.00002839431,0.0001267556,0.0002707849,0.0001723257,0.0001143341],"domain_scores_gemma":[0.9995601,0.00006127777,0.00009439328,0.0002410207,0.000004017408,0.00003925194],"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":[0.000005072841,0.00001672337,0.1331292,0.000002532444,0.000007799416,6.060704e-7,0.0004526571,3.137446e-7,0.8647484,0.00002833884,0.0007025028,0.0009058199],"study_design_scores_gemma":[0.00003569671,0.00002821737,0.3516909,0.000006672564,0.000007058541,3.187212e-7,0.00006531626,0.00000745515,0.6455895,0.0003260124,0.002167513,0.0000753719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992135,0.00003390184,0.0002373536,0.0001737468,0.0000378584,0.0002327525,0.0000651497,0.00008647343,0.00699771],"genre_scores_gemma":[0.9460964,0.0001505472,0.0535442,0.00005509793,0.00001763326,0.000009840468,0.000008840506,0.000006500339,0.0001109041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.219159,"threshold_uncertainty_score":0.4262799,"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."}}