{"id":"W2170391279","doi":"10.3791/1352","title":"DNA Extraction from 0.22 μM 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001830094,0.0001914705,0.0002636551,0.000059869,0.00021731,0.00004888427,0.000165916,0.00006844231,0.0006131615],"category_scores_gemma":[0.00002784542,0.000177753,0.00009529111,0.00008456698,0.0001454311,0.0005818321,0.0001290367,0.0001370928,0.0001074246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004761435,"about_ca_system_score_gemma":0.000002656137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001157303,"about_ca_topic_score_gemma":0.000005134814,"domain_scores_codex":[0.9984823,0.0000828878,0.0003857967,0.0002483157,0.0005685879,0.0002321377],"domain_scores_gemma":[0.9991908,0.00003718524,0.0004433259,0.0001425759,0.00001111728,0.0001750005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006621158,0.0005321718,0.2047184,0.000003017209,0.00007778159,0.00004009169,0.004570257,0.00004180656,0.7841699,0.000003533605,0.003268742,0.001912209],"study_design_scores_gemma":[0.001402981,0.0002733209,0.7065464,0.00002591325,0.00005360021,0.0000255993,0.001004828,0.00002001046,0.2872558,0.0001253191,0.003077731,0.0001885044],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984193,0.0001752947,0.0003847231,0.0001729359,0.0004257089,0.0001486901,0.000008559544,0.00001408025,0.000250679],"genre_scores_gemma":[0.9924155,0.0003535199,0.006705525,0.0003097923,0.00008080743,0.000001271768,0.000008220816,0.000007520217,0.0001177717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.501828,"threshold_uncertainty_score":0.7248557,"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."}}