{"id":"W2945893979","doi":"10.1016/j.ympev.2019.05.008","title":"Miocene climate change as a driving force for multiple origins of annual species in Astragalus (Fabaceae, Papilionoideae)","year":2019,"lang":"en","type":"article","venue":"Molecular Phylogenetics and Evolution","topic":"Plant Ecology and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; University of Tehran; Iran National Science Foundation","keywords":"Biology; Biogeography; Late Miocene; Range (aeronautics); Mediterranean climate; Clade; Neogene; Ecology; Aridification; Paleontology; Climate change; Phylogenetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001214213,0.00009994199,0.0001673655,0.00002121732,0.00007541938,0.000007115917,0.00006522857,0.00008027109,0.000009894572],"category_scores_gemma":[0.00003022149,0.00005302817,0.00004865643,0.000109095,0.0000444404,0.0000357047,0.00006025714,0.00004345962,0.00000424485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003098159,"about_ca_system_score_gemma":0.000004654419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001254787,"about_ca_topic_score_gemma":0.001439965,"domain_scores_codex":[0.9993188,0.00002754033,0.0001540177,0.0002014733,0.00006101967,0.0002371937],"domain_scores_gemma":[0.9997284,0.00008519157,0.00007282358,0.00003507848,0.00004728455,0.000031227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004525193,0.00005162087,0.6734339,0.00002266113,0.00001409728,0.000001905385,0.00005406401,0.00004611592,0.320693,0.003078421,0.000007244719,0.002551774],"study_design_scores_gemma":[0.0003169424,0.0003951739,0.9883,0.00002459075,0.00001101547,0.000003205001,0.0002498951,0.0007002843,0.007888316,0.0005445236,0.001447876,0.0001181531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981476,0.0008288212,0.0000418788,0.0001425767,0.00008185604,0.0004304937,0.0001348633,0.000007992789,0.0001839372],"genre_scores_gemma":[0.9993212,0.0002748878,0.0002124204,0.00003996165,0.00004538284,0.00004078126,0.00003354361,9.573342e-7,0.0000308423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3148662,"threshold_uncertainty_score":0.2162426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121574846202288,"score_gpt":0.1964787333240584,"score_spread":0.1843212487038296,"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."}}