{"id":"W2067959916","doi":"10.1371/journal.pone.0000537","title":"The Isolation of Nucleic Acids from Fixed, Paraffin-Embedded Tissues–Which Methods Are Useful When?","year":2007,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":396,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton","funders":"National Institute of Allergy and Infectious Diseases; European Commission; David and Lucile Packard Foundation; National Institutes of Health; National Science Foundation","keywords":"Nucleic acid; DNA extraction; RNA extraction; Computational biology; DNA; Isolation (microbiology); Computer science; Extraction (chemistry); RNA; Biology; Polymerase chain reaction; Bioinformatics; Chemistry; Biochemistry; Chromatography; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.007685483,0.0006712964,0.001752187,0.002669082,0.001415977,0.005054729,0.001679836,0.002072717,0.008106676],"category_scores_gemma":[0.01310095,0.0008472125,0.0009539138,0.002831473,0.003155401,0.006834459,0.0009759198,0.002744663,0.009163325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008123217,"about_ca_system_score_gemma":0.001683687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00107437,"about_ca_topic_score_gemma":0.004166318,"domain_scores_codex":[0.9960151,0.001588938,0.0005614857,0.0005493587,0.00107777,0.0002073032],"domain_scores_gemma":[0.9915446,0.002967522,0.001609984,0.001434123,0.001924567,0.0005192299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007194931,0.0003495097,0.01618459,0.008273094,0.000280206,0.00158465,0.001004066,0.0003740852,0.3394245,0.01112453,0.04401892,0.5766624],"study_design_scores_gemma":[0.0000916458,0.0009611943,0.0469451,0.008176715,0.0004818448,0.008331723,0.004972706,0.0009938182,0.2578121,0.03178396,0.6389373,0.0005119593],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.09830018,0.4630513,0.283217,0.0903905,0.01225523,0.002117126,0.006812783,0.002119603,0.04173624],"genre_scores_gemma":[0.1183304,0.3456377,0.4957943,0.01075298,0.002860569,0.001073841,0.005102165,0.001222588,0.01922539],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008106676,"threshold_uncertainty_score":0.04064518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03031774315882075,"score_gpt":0.3073424415594654,"score_spread":0.2770246984006446,"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."}}