{"id":"W4412430076","doi":"10.1016/j.ecolind.2025.113871","title":"Quantifying the national responsibilities for the conservation of transboundary migratory species Siberian ibex","year":2025,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Yunnan Provincial Science and Technology Department; Chinese Academy of Sciences; Natural Science Foundation of Inner Mongolia; Ministry of Science and Technology of the People's Republic of China; Science and Technology Project of Nantong City; National Natural Science Foundation of China; Science and Technology Department of Xinjiang Uygur Autonomous Region","keywords":"Nature Conservation; Geography; Ecology; Wildlife conservation; Environmental protection; Environmental resource management; Fishery; Biology; Habitat; Environmental 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":[0.003639129,0.0005006111,0.0002080782,0.002563117,0.0007137402,0.001556912,0.0003788103,0.0002569604,0.001957601],"category_scores_gemma":[0.005033443,0.0001104481,0.0003019736,0.001590541,0.0006932681,0.001098832,0.002194944,0.0003987042,0.0001099686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485578,"about_ca_system_score_gemma":0.001693894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02052547,"about_ca_topic_score_gemma":0.03606405,"domain_scores_codex":[0.999059,0.0004058325,0.00008657148,0.0001052914,0.0002103712,0.0001330067],"domain_scores_gemma":[0.9979314,0.0004946569,0.0005476241,0.0002339555,0.0005819296,0.0002105131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007945811,0.00005470286,0.8487849,0.0001699018,0.0002122722,0.0002447006,0.003066651,0.03157914,0.001790076,0.01013642,0.00163036,0.1022514],"study_design_scores_gemma":[0.000009147171,0.00008956534,0.9192328,0.0002952398,0.00008888962,0.0001844346,0.01139512,0.04534445,0.001456943,0.01173578,0.01012397,0.00004365174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974454,0.0002419196,0.0100777,0.0003859627,0.00002132953,0.00006280786,0.0007182412,0.00004088693,0.01399703],"genre_scores_gemma":[0.9920498,0.0001668299,0.006361381,0.00003198391,0.000007709422,0.00006369033,0.0006663565,0.000005317059,0.0006470209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02052547,"threshold_uncertainty_score":0.04081202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04681949368946549,"score_gpt":0.2882433009360535,"score_spread":0.2414238072465881,"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."}}