{"id":"W2471390377","doi":"10.1111/mec.13738","title":"Plant adaptive radiation mediated by polyploid plasticity in transcriptomes","year":2016,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Precursory Research for Embryonic Science and Technology; Institute of Genetics; Japan Science and Technology Agency; Universität Zürich; Research Organization of Information and Systems; National Science Foundation; Human Frontier Science Program; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Polyploid; Biology; Ploidy; Botany; Genetic algorithm; Evolutionary biology; Plant evolution; Reproductive isolation; Genome; Genetics; Gene; Population","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":[0.0000452054,0.00008267759,0.0001159011,0.0000138894,0.00004408335,0.000006301791,0.00009921777,0.000103015,0.0008041759],"category_scores_gemma":[0.00006270442,0.00002943733,0.00003598218,0.0001461317,0.00003655709,0.00003331561,0.00001594315,0.00004338514,0.00006417382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003655617,"about_ca_system_score_gemma":0.000009601889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001144782,"about_ca_topic_score_gemma":0.002280327,"domain_scores_codex":[0.9992818,0.00008899195,0.0001429874,0.0001967303,0.00007642964,0.0002131146],"domain_scores_gemma":[0.9996417,0.000226586,0.00003748422,0.00002104316,0.00001536059,0.00005785153],"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":[0.00002391129,0.00007301209,0.01388623,4.396703e-7,0.000009133287,0.000007163306,0.00002940897,0.000002986222,0.9802583,0.0004955514,0.0003015081,0.004912379],"study_design_scores_gemma":[0.0008424399,0.0006051932,0.8948488,0.000008966397,0.00001276154,0.000009885777,0.00004109903,0.000172613,0.08656269,0.001675693,0.01498974,0.0002300876],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953352,0.00007275489,0.0001050854,0.003719199,0.00007925594,0.0001299416,0.0002654844,0.00002744084,0.0002656339],"genre_scores_gemma":[0.9994618,0.00003119675,0.00002078952,0.0002604026,0.00002787643,0.00002768112,0.00007726326,6.858145e-7,0.00009227586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8936956,"threshold_uncertainty_score":0.8805162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007872143338779393,"score_gpt":0.1848978682408683,"score_spread":0.1770257249020889,"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."}}