{"id":"W3141546722","doi":"10.1016/j.aca.2021.338449","title":"Integration of microfluidic sample preparation with PCR detection to investigate the effects of simultaneous DNA-Inhibitor separation and DNA solution exchange","year":2021,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Chemistry; Microchannel; Microfluidics; Chromatography; DNA; Environmental DNA; Polymerase chain reaction; Molecular biology; Nanotechnology; Biochemistry; Gene; Materials 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":[0.001371581,0.001173832,0.0008137093,0.0003974034,0.0003865593,0.0009057727,0.001121825,0.0009410689,0.001681094],"category_scores_gemma":[0.002286855,0.0007456178,0.0005684098,0.0003448931,0.0004265871,0.0006032984,0.000464832,0.0009446537,0.0005490889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000769223,"about_ca_system_score_gemma":0.001245648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086417,"about_ca_topic_score_gemma":0.001990834,"domain_scores_codex":[0.9985368,0.0001617696,0.000133126,0.0004070225,0.0005151413,0.0002460682],"domain_scores_gemma":[0.9984645,0.000825118,0.0002339367,0.0001458902,0.0002606226,0.00007000355],"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":[0.00007182392,0.00006495301,0.0002065057,0.00008513877,0.0000158714,0.00002617365,0.00002602836,0.0001700339,0.995886,0.000181859,0.00006725513,0.003198356],"study_design_scores_gemma":[0.000006679387,0.00009272,0.0003998352,0.000002802482,0.00001182896,0.00002342568,0.000006436068,0.001638122,0.9966787,0.00002625386,0.001106817,0.000006334154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7418759,0.006208372,0.2434947,0.0009319269,0.0009119657,0.0007549279,0.0007119091,0.001592056,0.0035182],"genre_scores_gemma":[0.8070123,0.00269741,0.1835916,0.0006574968,0.0001255947,0.001050278,0.0007686624,0.0002238718,0.00387287],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001681094,"threshold_uncertainty_score":0.007253706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009131634798350762,"score_gpt":0.2213003067056618,"score_spread":0.212168671907311,"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."}}