{"id":"W2953134013","doi":"10.1002/aps3.11254","title":"A customized nuclear target enrichment approach for developing a phylogenomic baseline for <i>Dioscorea</i> yams (Dioscoreaceae)","year":2019,"lang":"en","type":"article","venue":"Applications in Plant Sciences","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Coalescent theory; Taxon; Evolutionary biology; Dioscorea; Phylogenetics; Gene; Botany; Genetics","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":[0.0008554119,0.000755239,0.0006261157,0.001238028,0.0006118544,0.0008103058,0.0005501696,0.0005457628,0.003873032],"category_scores_gemma":[0.00170715,0.0004966157,0.0006804966,0.001005893,0.0003308658,0.0004873879,0.001224028,0.0008872375,0.002270743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004650426,"about_ca_system_score_gemma":0.0006470174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001673864,"about_ca_topic_score_gemma":0.004494464,"domain_scores_codex":[0.9993718,0.00007384973,0.00003659963,0.0003125761,0.0001355872,0.0000696276],"domain_scores_gemma":[0.9993181,0.0002130921,0.0001245183,0.0001158383,0.0001530322,0.00007538615],"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":[0.0003553391,0.00009965922,0.01661394,0.0004014497,0.0001485666,0.0002009404,0.000227078,0.003575298,0.9200901,0.0009394915,0.001883276,0.05546483],"study_design_scores_gemma":[0.0001878195,0.001004348,0.2127279,0.0001715716,0.0007159878,0.002678521,0.000527597,0.09951353,0.5918985,0.005842067,0.08452014,0.0002120236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4171674,0.001124856,0.5388134,0.0003241103,0.0000785025,0.000725095,0.0266352,0.006627921,0.008503524],"genre_scores_gemma":[0.4757905,0.0005167028,0.4670109,0.0009058058,0.00005064352,0.001226993,0.04884181,0.001016645,0.004639909],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003873032,"threshold_uncertainty_score":0.01295656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032568953537279,"score_gpt":0.253621992174668,"score_spread":0.2332963026392952,"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."}}