{"id":"W4321996674","doi":"10.1111/ele.14170","title":"Trait‐dependent diversification in angiosperms: Patterns, models and data","year":2023,"lang":"en","type":"review","venue":"Ecology Letters","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fondation pour la Recherche sur la Biodiversite","keywords":"Biology; Species richness; Trait; Ecology; Diversification (marketing strategy); Extinction (optical mineralogy); Clade; Context (archaeology); Taxon; Evolutionary biology; Phylogenetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003738072,0.0002111951,0.0006657566,0.0002304163,0.0001076927,0.00001803996,0.0004979254,0.0002199979,0.0002280764],"category_scores_gemma":[0.00003035965,0.0001791243,0.00005844487,0.0001478391,0.0001326387,0.0001688344,0.00008453072,0.000287976,0.0003404363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001360681,"about_ca_system_score_gemma":0.00003590202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009295908,"about_ca_topic_score_gemma":0.1700589,"domain_scores_codex":[0.9984477,0.000245469,0.0003274412,0.0005809893,0.00009496934,0.0003034193],"domain_scores_gemma":[0.9990615,0.0003859561,0.0001405708,0.000353584,0.000005928332,0.00005247871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007399002,0.00002274011,0.5168324,0.00286621,0.0004487335,0.0002863691,0.0003214546,0.000131287,2.462373e-8,0.00003075891,0.01670759,0.462345],"study_design_scores_gemma":[0.0003521378,0.00004253337,0.7615049,0.0008275013,0.0004831342,0.00006921791,0.0002055692,0.001842777,3.228295e-9,0.00008379451,0.2340536,0.00053481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001024084,0.9953678,0.00002579055,0.001024748,0.0005812608,0.0004028631,0.001125662,0.00005101143,0.0003967401],"genre_scores_gemma":[0.0007623218,0.9964213,0.0000418595,0.0005373265,0.00007370812,0.000005748122,0.002062788,0.000005330625,0.00008960168],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4618102,"threshold_uncertainty_score":0.8450854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1798680431564721,"score_gpt":0.3259528938585039,"score_spread":0.1460848507020318,"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."}}