{"id":"W3134771808","doi":"10.1002/cyto.a.24331","title":"Isolation of plant nuclei for estimation of nuclear DNA content: Overview and best practices","year":2021,"lang":"en","type":"review","venue":"Cytometry Part A","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada","keywords":"Nuclear DNA; Isolation (microbiology); DNA; Biology; DNA extraction; Suspension (topology); Computational biology; Staining; Biological system; Genetics; Bioinformatics; Polymerase chain reaction; Gene; Mathematics","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":[0.001674917,0.001589281,0.001814634,0.006682908,0.0004469674,0.0013765,0.001544518,0.001476623,0.003253532],"category_scores_gemma":[0.001704369,0.0006908584,0.0008698899,0.004074201,0.001036394,0.002077823,0.0008707615,0.002006994,0.00310926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157502,"about_ca_system_score_gemma":0.001427432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002531044,"about_ca_topic_score_gemma":0.002485529,"domain_scores_codex":[0.9993408,0.00009138878,0.0000977883,0.0001776429,0.0002528143,0.00003955204],"domain_scores_gemma":[0.998753,0.0006844242,0.0001195526,0.00004603707,0.000349134,0.00004791588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009949867,0.00009184438,0.0005001669,0.02916995,0.00009015526,0.0002089267,0.0001223051,0.0006054877,0.01721678,0.004900066,0.01623803,0.9307569],"study_design_scores_gemma":[0.00001069136,0.0001166937,0.001648539,0.00369664,0.0001585281,0.001372748,0.000108001,0.0002265669,0.01041336,0.002821203,0.9793657,0.00006137357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002756188,0.9949625,0.002259858,0.000315059,0.000239238,0.00003159179,0.0001003956,0.00003797216,0.001777911],"genre_scores_gemma":[0.00106983,0.994672,0.002689339,0.0001810524,0.0001652077,0.00003730232,0.0002308671,0.00001031394,0.0009439803],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006682908,"threshold_uncertainty_score":0.01088411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2272795406083087,"score_gpt":0.3535842956004129,"score_spread":0.1263047549921042,"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."}}