{"id":"W4406679892","doi":"10.1038/s41559-024-02633-z","title":"Insights from a century of data reveal global trends in ex situ living plant collections","year":2025,"lang":"en","type":"article","venue":"Nature Ecology & Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Cambridge","keywords":"Convention on Biological Diversity; Ex situ conservation; Biodiversity; Diversity (politics); Environmental resource management; Global biodiversity; Geography; Prioritization; Environmental planning; Agroforestry; Ecology; Biology; Political science; Environmental science; Engineering; Habitat; Management science","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":[0.00406338,0.0002508979,0.0003469389,0.003204924,0.0006993319,0.002230093,0.0005294161,0.000415719,0.001767621],"category_scores_gemma":[0.01068465,0.0002800302,0.0004020638,0.00653284,0.001158282,0.003071334,0.002366967,0.00110751,0.0004333086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006303299,"about_ca_system_score_gemma":0.0004525656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002875826,"about_ca_topic_score_gemma":0.009810804,"domain_scores_codex":[0.9982587,0.0004715041,0.0001871915,0.0005309138,0.0003915223,0.000160229],"domain_scores_gemma":[0.9884206,0.003907372,0.00317924,0.002288954,0.001737195,0.0004666784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001712501,0.00004050691,0.8700626,0.0006193147,0.0004326031,0.0003167116,0.006604836,0.002065602,0.01271451,0.004718625,0.004515833,0.09773757],"study_design_scores_gemma":[0.000003729274,0.00003338447,0.9394034,0.0001938488,0.00009614805,0.0004618404,0.002677299,0.001171913,0.001642769,0.002249076,0.05202075,0.00004585828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659021,0.005577692,0.009953169,0.001530314,0.00009951489,0.00002839822,0.009411126,0.0001236561,0.007374022],"genre_scores_gemma":[0.9740293,0.002568334,0.01257167,0.0004316196,0.0001256679,0.00005924192,0.008969327,0.0001716823,0.001073268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00406338,"threshold_uncertainty_score":0.0214895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131965153285377,"score_gpt":0.2670222241816339,"score_spread":0.2538257088530962,"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."}}