{"id":"W1982653599","doi":"10.1111/j.1366-9516.2005.00215.x","title":"Relationships between species richness of vascular plants and terrestrial vertebrates in China: analyses based on data of nature reserves","year":2006,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Species richness; Ecology; Biology; Vertebrate; Trophic level; Vascular plant; Ectotherm; Taxon; Species diversity; Biodiversity; Habitat; Terrestrial plant","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001793946,0.00004856119,0.0001124172,0.00003903418,0.0004456029,0.000003834111,0.0001067947,0.00007576153,0.00001790993],"category_scores_gemma":[0.0001322052,0.00004480854,0.0000154792,0.0001431441,0.0002804591,0.0001201195,0.000437018,0.0001132518,5.77792e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001619604,"about_ca_system_score_gemma":0.000004018259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006157026,"about_ca_topic_score_gemma":0.001598002,"domain_scores_codex":[0.9995475,0.00006835508,0.00009947502,0.0001321302,0.00008833128,0.00006418551],"domain_scores_gemma":[0.9996222,0.0001835236,0.00005338005,0.0001194254,0.000004429026,0.00001705845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001417999,0.00005995018,0.9981239,0.00000550248,0.00001205999,7.838345e-7,0.00008960888,0.0009323854,0.00002716018,0.0005744627,0.0001542372,0.00000570699],"study_design_scores_gemma":[0.0003566018,0.00001903984,0.9950414,0.000009599676,0.00003142163,7.637846e-8,0.0001869799,0.003027668,0.00006245861,0.001198399,0.00002424244,0.00004215672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974685,0.00007101896,0.0002790605,0.0001510247,0.00001501726,0.0000531596,0.001565069,0.000003866268,0.0003933347],"genre_scores_gemma":[0.999126,0.00002934798,0.00005401453,0.000001925151,0.00000567119,4.583795e-7,0.000770103,6.88512e-7,0.00001184341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003082606,"threshold_uncertainty_score":0.3427263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0563568051269164,"score_gpt":0.2759999801903277,"score_spread":0.2196431750634113,"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."}}