{"id":"W3208631185","doi":"10.7717/peerj.12418","title":"Phylogeny of <i>Crataegus</i> (Rosaceae) based on 257 nuclear loci and chloroplast genomes: evaluating the impact of hybridization","year":2021,"lang":"en","type":"article","venue":"PeerJ","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum; University of Toronto","funders":"Bijzonder Onderzoeksfonds UGent; Natural Sciences and Engineering Research Council of Canada; Arnold Arboretum; British Columbia Institute of Technology; University of Toronto; Oregon State University; University of Alberta; Harvard University","keywords":"Biology; Coalescent theory; Chloroplast DNA; Phylogenetic tree; Apomixis; Clade; Genome; Evolutionary biology; Phylogenetics; Nuclear gene; Ploidy; Subgenus; Crataegus; Genetics; Genus; Zoology; Botany; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001973541,0.0001914958,0.0001973308,0.000550577,0.0002936723,0.0003212926,0.0001698083,0.0001914828,0.0005727764],"category_scores_gemma":[0.0003840575,0.00009357309,0.000183882,0.0004393701,0.0001769981,0.0001677364,0.0002144649,0.0002391292,0.0001514083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003550492,"about_ca_system_score_gemma":0.0001820457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00243318,"about_ca_topic_score_gemma":0.00467505,"domain_scores_codex":[0.9998957,0.00001368252,0.000008686409,0.00004929453,0.00001780127,0.00001490045],"domain_scores_gemma":[0.9996711,0.0001071431,0.0001102219,0.0000256818,0.00003423312,0.00005159088],"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":[0.000356169,0.00004071325,0.2124979,0.0001714674,0.00009303009,0.0002104843,0.0005080145,0.001024932,0.7717374,0.0003006309,0.0001098901,0.01294941],"study_design_scores_gemma":[0.00001258461,0.0001590756,0.9750734,0.00003401502,0.0001091091,0.0004426925,0.0004899292,0.00330208,0.0176434,0.0001594783,0.002561304,0.00001300183],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989415,0.0001154514,0.0003576751,0.000007904962,8.042526e-7,0.000005489029,0.0002296858,0.000009165747,0.0003323108],"genre_scores_gemma":[0.9968997,0.00009010643,0.001783882,0.00001793794,0.000001646772,0.000009187999,0.001093446,0.00000910502,0.00009495306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00243318,"threshold_uncertainty_score":0.004838049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040323789651113,"score_gpt":0.2785036255586769,"score_spread":0.2481003876621657,"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."}}