{"id":"W2974053272","doi":"10.1073/pnas.1909564116","title":"Elevated mutation and selection in wild emmer wheat in response to 28 years of global warming","year":2019,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Saskatchewan Research Council (Canada); Agriculture and Agri-Food Canada","funders":"National Research Council Canada; Agriculture and Agri-Food Canada; Government of Canada","keywords":"Biology; Genetic diversity; Selection (genetic algorithm); Nucleotide diversity; Genetic variation; Adaptation (eye); Population; Genetic divergence; Genetic variability; Adaptability; Genetics; Threatened species; Allele; Evolutionary biology; Ecology; Genotype; Gene; Haplotype; Habitat; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002842536,0.0001696123,0.0001876034,0.0004742441,0.0002480952,0.0002988011,0.0001590779,0.000220432,0.0004639684],"category_scores_gemma":[0.0002898783,0.00008895632,0.0001509191,0.0003938683,0.0002699253,0.000133095,0.0002385631,0.0002131758,0.00007711956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774214,"about_ca_system_score_gemma":0.00009670058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001629922,"about_ca_topic_score_gemma":0.005295197,"domain_scores_codex":[0.9998758,0.00003014088,0.000008639246,0.00004495468,0.0000138765,0.00002673159],"domain_scores_gemma":[0.9998733,0.00001942988,0.00004459754,0.00001720207,0.0000155145,0.0000299632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008312967,0.0002155018,0.8789154,0.00001902539,0.0002435292,0.0005743467,0.001028369,0.0009318769,0.1067446,0.0001360654,0.0001818184,0.01017827],"study_design_scores_gemma":[0.000006091907,0.00009913792,0.9983606,0.000001498621,0.00001190826,0.0001383103,0.0002040263,0.0003166909,0.0006944891,0.00003210502,0.0001315813,0.000003516196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999075,0.000007580059,0.00001771337,0.000001594923,4.176092e-7,6.080414e-7,0.00003080594,7.932164e-7,0.00003285526],"genre_scores_gemma":[0.9996943,0.00001088279,0.00005364175,0.00000662412,8.784665e-7,0.000002407256,0.0001520917,0.000001296973,0.00007790505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001629922,"threshold_uncertainty_score":0.003240943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351803085018826,"score_gpt":0.2738344286081398,"score_spread":0.2503163977579515,"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."}}