{"id":"W3173184773","doi":"10.1139/cjb-2020-0165","title":"Reassessing species boundaries in the <i>Syagrus glaucescens</i> complex (Arecaceae) using leaf anatomy","year":2021,"lang":"en","type":"article","venue":"Botany","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal de Minas Gerais; Universidade Federal do Paraná; Universidade Estadual de Montes Claros","keywords":"Biology; Arecaceae; Botany; Endemism; Population; Taxon; Identification key; Key (lock); Plant anatomy; Genus; Anatomy; Evolutionary biology; Palm; Plant morphology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001743861,0.00008262257,0.000110913,0.000007149735,0.0006497647,0.0003536263,0.0001681046,0.00005386934,0.0002065018],"category_scores_gemma":[0.00004029068,0.00003206144,0.00005087733,0.00039476,0.0001241741,0.0001806435,0.00006515618,0.0001049545,0.00001505725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004375689,"about_ca_system_score_gemma":0.00002540316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007283018,"about_ca_topic_score_gemma":0.005314821,"domain_scores_codex":[0.9991953,0.0001151004,0.0001081482,0.0001707204,0.0001941653,0.0002165523],"domain_scores_gemma":[0.999746,0.00009577569,0.00004177836,0.000045468,0.00004227715,0.00002873777],"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":[0.00004290973,0.000149606,0.09255818,0.00001109325,0.00001480883,0.0002960573,0.0006668203,0.000008414979,0.885655,0.002766846,0.0107742,0.007056085],"study_design_scores_gemma":[0.00008267149,0.00001216822,0.7010136,0.00002851856,0.000009073708,0.00006500655,0.002982148,0.0001997025,0.0005798499,0.0002745076,0.2946431,0.0001097145],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926202,0.0003125932,0.000006247058,0.002590554,0.0001213591,0.00005094135,0.00005203177,0.00002594378,0.004220081],"genre_scores_gemma":[0.9989197,0.00005411184,0.0001471312,0.000545556,0.0001426386,5.148025e-7,0.00002828854,3.486182e-7,0.0001616907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8850752,"threshold_uncertainty_score":0.4997531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06434637486518364,"score_gpt":0.2452079205225134,"score_spread":0.1808615456573298,"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."}}