{"id":"W3178457707","doi":"10.1016/j.biocon.2021.109238","title":"Integrating multiple indices of geobiodiversity reveals a series of regional species-rich areas worthy of conservation in the region of the Qinghai-Tibet Plateau","year":2021,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Science and Technology Planning Project of Guangdong Province; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft","keywords":"Species richness; Endemism; Taxon; Biodiversity; Ecology; Geography; Plateau (mathematics); Phylogenetic tree; Phylogenetic diversity; Species diversity; Biology","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":[0.000449805,0.00007495123,0.0002043049,0.00002424826,0.00009540193,0.000002597748,0.0001801212,0.0001008343,0.00004268899],"category_scores_gemma":[0.001004388,0.00004427082,0.0000590366,0.0004301555,0.000706133,0.00009942035,0.0001330759,0.00009915218,6.295258e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003011958,"about_ca_system_score_gemma":0.00002316582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004238148,"about_ca_topic_score_gemma":0.003679853,"domain_scores_codex":[0.9988861,0.0003360417,0.0004037193,0.0001423627,0.0001485863,0.00008319289],"domain_scores_gemma":[0.9986039,0.0005779864,0.0005804476,0.0001376204,0.00009198617,0.00000803404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008456436,0.00008013862,0.97984,0.00002327859,0.00001338314,9.639959e-7,0.001189242,0.00008532959,0.01528216,0.003109684,0.0002446236,0.00004658939],"study_design_scores_gemma":[0.0002087058,0.00009809534,0.9923655,0.00004829584,0.00001032969,0.000003751757,0.002286703,0.0002525449,0.002395723,0.002183596,0.0001023403,0.00004439677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965757,0.00004793089,0.00007790557,0.00256779,0.00003479372,0.0001843373,0.00001940209,0.000003720517,0.0004884662],"genre_scores_gemma":[0.9989725,0.00006592211,0.0005177232,0.0003377237,0.000004080551,0.00000617144,0.0000321866,0.000001180939,0.00006254789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01288643,"threshold_uncertainty_score":0.2601777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05524164874084476,"score_gpt":0.2292556241896358,"score_spread":0.174013975448791,"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."}}