{"id":"W2124829311","doi":"10.1186/1471-2164-14-s7-s3","title":"Ancient eudicot hexaploidy meets ancestral eurosid gene order","year":2013,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Gordon and Betty Moore Foundation","keywords":"Biology; Genome; Clade; Evolutionary biology; Gene; Lineage (genetic); Genetics; Ancestor; Phylogenetics; Phylogenetic tree","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005904335,0.0001212763,0.0001123343,0.00000632246,0.0001844579,0.00009026116,0.0002158408,0.00005995761,0.001423529],"category_scores_gemma":[0.00002229516,0.00004986287,0.00006254829,0.0002093024,0.00003787992,0.00006707232,0.00007896667,0.00005808725,0.0008432637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002783457,"about_ca_system_score_gemma":0.00002313102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002833565,"about_ca_topic_score_gemma":0.0008624044,"domain_scores_codex":[0.9991012,0.00003097326,0.0001841182,0.0002674788,0.0001201045,0.0002960788],"domain_scores_gemma":[0.999619,0.00003709564,0.00006052612,0.00007133606,0.00008125407,0.0001307712],"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":[0.000003208588,0.00007536793,0.01081779,0.000002182044,0.000005015038,7.1289e-7,0.00004643053,0.0001720918,0.9809479,0.0001368501,0.001275958,0.006516537],"study_design_scores_gemma":[0.0001818436,0.0001528942,0.8717039,0.000003588946,0.0000116901,0.0000178977,0.000103354,0.0006983587,0.02431572,0.000896198,0.1016421,0.0002724636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970434,0.0002001041,0.0000270098,0.001198616,0.0002283244,0.0002498948,0.00004160679,0.00005111393,0.0009598769],"genre_scores_gemma":[0.9947905,0.000045756,0.003374888,0.0004735826,0.0004122515,0.00003233472,0.00005543666,0.000001400503,0.0008138853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9566321,"threshold_uncertainty_score":0.9999347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03132220382024872,"score_gpt":0.2114677785365508,"score_spread":0.1801455747163021,"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."}}