{"id":"W2170391279","doi":"10.3791/1352","title":"DNA Extraction from 0.22 &amp;mu;M Sterivex Filters and Cesium Chloride Density Gradient Centrifugation","year":2009,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Tula Foundation","keywords":"Centrifugation; Chromatography; Lysis; Extraction (chemistry); Lysis buffer; Chemistry; DNA; DNA extraction; Differential centrifugation; Caesium; Density gradient; Biochemistry; Polymerase chain reaction; Gene","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":[0.001801023,0.00195314,0.001852548,0.003335851,0.00196416,0.001091945,0.0026718,0.001173442,0.02199901],"category_scores_gemma":[0.002848354,0.001139075,0.001285528,0.002380189,0.0008994456,0.0008276164,0.001227403,0.002196253,0.02669512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006678012,"about_ca_system_score_gemma":0.001143557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002869916,"about_ca_topic_score_gemma":0.006776754,"domain_scores_codex":[0.9982338,0.0002971814,0.0002141179,0.0004708426,0.0005332449,0.0002508171],"domain_scores_gemma":[0.9983576,0.0005463029,0.0001528636,0.0002825324,0.0005115414,0.000149257],"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":[0.0001306917,0.0001271344,0.001203761,0.0006910856,0.0000448813,0.0003184469,0.000265797,0.0001336839,0.9595668,0.0007408683,0.006377448,0.03039938],"study_design_scores_gemma":[0.00007670435,0.0009269696,0.02625343,0.0003817487,0.0002457483,0.001571296,0.0003300053,0.001864095,0.6712258,0.00199489,0.2949944,0.0001349114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1567682,0.008052078,0.7032944,0.002095807,0.001599097,0.009847611,0.03241215,0.01151104,0.0744196],"genre_scores_gemma":[0.08322527,0.0108033,0.6439835,0.001666651,0.0004913846,0.007763649,0.09046814,0.002604849,0.1589933],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02199901,"threshold_uncertainty_score":0.07359397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0250197539852865,"score_gpt":0.3368971559098046,"score_spread":0.3118774019245181,"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."}}