{"id":"W4410525746","doi":"10.18280/ijdne.200409","title":"Comparative Floristic Analysis for Biodiversity Conservation and Sustainable Land Management in Central Asia's Arid Zones","year":2025,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Floristics; Geography; Biodiversity conservation; Arid; Biodiversity; Agroforestry; Central asia; Ecology; Environmental science; Biology; Species richness; Physical geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005319927,0.0001503721,0.0001558931,0.002868271,0.000561261,0.0004775879,0.0001870358,0.00006698721,0.0009888682],"category_scores_gemma":[0.0005270836,0.00005790068,0.00016072,0.001967949,0.0003489086,0.0002933197,0.0003888742,0.00008934806,0.00003811168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006756497,"about_ca_system_score_gemma":0.00050338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024984,"about_ca_topic_score_gemma":0.03288728,"domain_scores_codex":[0.9998562,0.00005669956,0.00001114025,0.00002036735,0.00003144081,0.00002412097],"domain_scores_gemma":[0.9997789,0.00006755861,0.00005452379,0.00001377669,0.00003620033,0.00004909025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002708538,0.00007249449,0.8745357,0.0002769608,0.0001248757,0.0006955958,0.004902288,0.0009949573,0.02255416,0.001912402,0.0002682438,0.09339148],"study_design_scores_gemma":[0.000002899615,0.00005074002,0.9944786,0.00001801811,0.00001921495,0.0002291889,0.00291127,0.0005637307,0.0003567959,0.0002710126,0.001093521,0.000005054025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979595,0.000254212,0.0003297589,0.00001363975,0.000001623623,0.000007930301,0.00006427862,0.000002749957,0.001366309],"genre_scores_gemma":[0.998668,0.0001022147,0.001041868,0.000003660099,0.000001352488,0.000007000536,0.00006965525,7.944915e-7,0.0001054546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01024984,"threshold_uncertainty_score":0.02038038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0085316388914536,"score_gpt":0.2423306335412906,"score_spread":0.233798994649837,"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."}}