{"id":"W4238830717","doi":"10.3354/esr006127","title":"Applications of the IUCN Red List: towards a global barometer for plant diversity","year":2008,"lang":"en","type":"article","venue":"Endangered Species Research","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Rio Tinto; Department for Environment, Food and Rural Affairs, UK Government","keywords":"IUCN Red List; Context (archaeology); Threatened species; Diversity (politics); Critically endangered; Geography; Ecology; Endangered species; Political science; Biology; Law; Archaeology; Habitat","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01390526,0.0009202057,0.0005566748,0.007323378,0.001056129,0.003357103,0.002196963,0.001452483,0.04447366],"category_scores_gemma":[0.02438133,0.0004866104,0.0003758845,0.009443857,0.001211587,0.004187588,0.003445912,0.0029233,0.01894252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002056883,"about_ca_system_score_gemma":0.004211464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0169485,"about_ca_topic_score_gemma":0.01481994,"domain_scores_codex":[0.9934244,0.002354915,0.0006100491,0.0003011556,0.003056746,0.0002526937],"domain_scores_gemma":[0.9804907,0.003007241,0.002113125,0.001655198,0.01137,0.001363685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005487343,0.00003057937,0.00824665,0.0003260658,0.00001144934,0.00003744288,0.0003383244,0.0005889563,0.0005384388,0.01336714,0.8279157,0.1485443],"study_design_scores_gemma":[0.00001967362,0.00005440856,0.01957941,0.0003508486,0.00000782839,0.0001161275,0.0003935808,0.0009387306,0.0004679041,0.004767386,0.973264,0.00004012309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01289815,0.01278317,0.1315157,0.07927566,0.02531864,0.001849023,0.1087709,0.01104544,0.6165434],"genre_scores_gemma":[0.1064633,0.01557845,0.5465441,0.01367441,0.006075182,0.003806738,0.1299752,0.004509261,0.1733733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04447366,"threshold_uncertainty_score":0.1487792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1417363933983654,"score_gpt":0.333865451217997,"score_spread":0.1921290578196317,"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."}}