{"id":"W2158392977","doi":"10.1371/journal.pone.0076957","title":"Transcriptome-Mining for Single-Copy Nuclear Markers in Ferns","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Alberta; Alberta Innovates; Svenska Forskningsrådet Formas; Western Canada Research Grid; National Science Foundation; Vetenskapsrådet; Compute Canada","keywords":"Biology; Fern; Phylogenetic tree; Phylogenetics; Nuclear gene; Evolutionary biology; Genomics; Phylogenomics; Clade; Genetics; DNA sequencing; Genome; Gene; Botany","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":[0.000692571,0.0003142923,0.0004334809,0.000970619,0.0003917056,0.0007313908,0.0004281943,0.0003275803,0.001006047],"category_scores_gemma":[0.002534272,0.0001438929,0.0006267208,0.001353963,0.0002053773,0.0003685088,0.0003546114,0.0004971516,0.0007115337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003944135,"about_ca_system_score_gemma":0.0005674384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006488248,"about_ca_topic_score_gemma":0.001833485,"domain_scores_codex":[0.999643,0.00004722383,0.00003692803,0.0001678827,0.00006862095,0.00003632782],"domain_scores_gemma":[0.9984952,0.0006987248,0.0004348207,0.0001394228,0.0001558532,0.00007596613],"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":[0.0006928841,0.0001866281,0.1626596,0.0007976253,0.0001573305,0.0008394075,0.0006554376,0.009644836,0.7156257,0.001446192,0.001227332,0.1060671],"study_design_scores_gemma":[0.00009418783,0.0005308077,0.400348,0.0002910984,0.0005512115,0.003359968,0.001734498,0.1753374,0.3833644,0.008778867,0.02550842,0.0001012742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8843352,0.00101327,0.1049159,0.0001686426,0.0000244772,0.00009035347,0.006203701,0.001538603,0.001709879],"genre_scores_gemma":[0.8929099,0.0002844172,0.09386542,0.0000851451,0.00001749636,0.0001063313,0.01209044,0.0002333449,0.000407594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001006047,"threshold_uncertainty_score":0.003662765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07314059566563304,"score_gpt":0.2009793139760902,"score_spread":0.1278387183104572,"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."}}