{"id":"W4413831673","doi":"10.3897/jbgs.e157780","title":"Advancing protected area management planning in Armenia: A case study of Sevan National Park","year":2025,"lang":"en","type":"article","venue":"Journal of the Bulgarian Geographical Society","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; Ministry of Environment; European Commission","keywords":"National park; Environmental planning; Geography; Environmental resource management; Environmental protection; Archaeology; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008056989,0.0002707865,0.000200188,0.000835739,0.004006022,0.002042254,0.001057844,0.001094651,0.002317729],"category_scores_gemma":[0.001056951,0.000160276,0.0001919215,0.001650205,0.001713522,0.0009057015,0.002314517,0.0007804638,0.0001249272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004834576,"about_ca_system_score_gemma":0.002355927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05083006,"about_ca_topic_score_gemma":0.2048343,"domain_scores_codex":[0.9992474,0.0003710997,0.00002350557,0.00005091298,0.00007590991,0.0002312166],"domain_scores_gemma":[0.9996188,0.0001546991,0.00006233056,0.00002936304,0.00003626747,0.00009856989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004630985,0.001424607,0.2693547,0.0009922434,0.0001572085,0.1570914,0.2702695,0.0265646,0.006682075,0.07866079,0.01023325,0.1781065],"study_design_scores_gemma":[0.00004785338,0.0005983861,0.2420691,0.0006365086,0.00005607735,0.007894043,0.6358787,0.006048248,0.0009496694,0.004914591,0.1008336,0.00007334736],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844524,0.0002836038,0.0002842159,0.000344688,0.00001088229,0.00004089426,0.00006414297,0.000004999279,0.01451418],"genre_scores_gemma":[0.9967103,0.0002882185,0.0006537339,0.00006133963,0.000003212866,0.00002737006,0.00005882878,0.000002873665,0.00219409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05083006,"threshold_uncertainty_score":0.1010684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00689585241882549,"score_gpt":0.2431310592309185,"score_spread":0.2362352068120931,"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."}}