{"id":"W2800914619","doi":"10.3390/land7020052","title":"Environmental Conservation in the Tibetan Plateau Region: Lessons for China’s Belt and Road Initiative in the Mountains of Central Asia","year":2018,"lang":"en","type":"article","venue":"Land","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"China; Plateau (mathematics); Geography; Central asia; Nature Conservation; Environmental protection; Physical geography; Environmental resource management; Environmental science; Ecology; Archaeology","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":[0.0002055781,0.00005544782,0.00006935216,0.0000168189,0.00007218876,0.000009222696,0.0001159443,0.0000306654,0.00004821545],"category_scores_gemma":[0.000008153233,0.00003269441,0.00001269752,0.00005736872,0.0001865279,0.0000853036,0.00003417111,0.0000504797,0.000003292472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002585764,"about_ca_system_score_gemma":0.000002281165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008602951,"about_ca_topic_score_gemma":0.01150679,"domain_scores_codex":[0.9995169,0.00007548284,0.00009512813,0.0001076301,0.00007053413,0.0001343151],"domain_scores_gemma":[0.9998025,0.00005468852,0.00004611563,0.00008565959,5.99601e-7,0.00001040126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004570112,0.00007589,0.9894677,0.000003473946,0.000004868249,0.000004070754,0.007109558,0.00001051517,0.00008662538,0.001065871,0.000914016,0.001211654],"study_design_scores_gemma":[0.0005639243,0.0001840216,0.993319,0.000003745931,0.000007795128,0.000005248601,0.001324216,0.0004551389,0.00001409487,0.00124453,0.002835525,0.00004271058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909998,0.00001491523,0.00005481148,0.004653555,0.00002543937,0.00041395,0.000007950706,0.000001974664,0.003827672],"genre_scores_gemma":[0.9994574,0.00002672959,0.00002951589,0.000333204,0.00002730238,0.00003217311,0.00001550614,0.000002620322,0.00007561325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0106465,"threshold_uncertainty_score":0.6421062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061672511021737,"score_gpt":0.2413509611657415,"score_spread":0.2207342360555241,"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."}}