{"id":"W4401388911","doi":"10.1038/s41586-024-07731-3","title":"Unforeseen plant phenotypic diversity in a dry and grazed world","year":2024,"lang":"en","type":"article","venue":"Nature","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University; Université du Québec à Trois-Rivières","funders":"Agencia Nacional de Investigación y Desarrollo; HORIZON EUROPE Marie Sklodowska-Curie Actions; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Bayerische Forschungsallianz; Ministerio de Ciencia e Innovación; King Abdullah University of Science and Technology; European Commission; Generalitat Valenciana; Deutsche Forschungsgemeinschaft; Universidad de Alicante; National Science Foundation","keywords":"Arid; Trait; Perennial plant; Grazing; Ecology; Biology; Grazing pressure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002741529,0.00009726332,0.0001669564,0.0007984073,0.0007253275,0.0005297488,0.0001864838,0.0002103718,0.0008389318],"category_scores_gemma":[0.0006942817,0.0001318791,0.0001048465,0.0006361945,0.001237842,0.0006497883,0.0006218867,0.0002862233,0.00007027604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003287826,"about_ca_system_score_gemma":0.0001013241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00466084,"about_ca_topic_score_gemma":0.02132838,"domain_scores_codex":[0.9998791,0.00004224735,0.000005316233,0.00002747646,0.00001287077,0.0000328589],"domain_scores_gemma":[0.999518,0.0001269908,0.0001274797,0.00004642625,0.00003033937,0.0001506778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008376173,0.0001434934,0.9483623,0.00004037183,0.00015012,0.0006325318,0.004668018,0.001032341,0.03129079,0.001106924,0.000162303,0.01157316],"study_design_scores_gemma":[0.000001826193,0.00004393421,0.9979448,0.000001396935,0.000008261664,0.0001398798,0.001015383,0.0002871608,0.0002137609,0.0002108416,0.0001290977,0.000003709281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998481,0.00001778555,0.0000155161,0.000005308656,2.202715e-7,1.496392e-7,0.00001096764,3.451443e-7,0.0001016023],"genre_scores_gemma":[0.9999067,0.00001329043,0.00002483498,0.000003126769,6.427223e-7,3.332991e-7,0.00001680296,4.171001e-7,0.00003392006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00466084,"threshold_uncertainty_score":0.009267449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006502584548220362,"score_gpt":0.2246200346159773,"score_spread":0.218117450067757,"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."}}