{"id":"W4385718505","doi":"10.3389/fcosc.2023.903788","title":"Developing co-management for conservation and local development in China’s national parks: findings from focus group discussions in the Sanjiangyuan Region","year":2023,"lang":"en","type":"article","venue":"Frontiers in Conservation Science","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Chinese Academy of Sciences","keywords":"National park; Focus group; China; Wildlife; Environmental planning; Environmental resource management; Political science; Geography; Ecotourism; Tourism; Economic growth; Environmental protection; Business; Marketing; Ecology","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":[0.002103358,0.000104375,0.0001380323,0.0001662332,0.0003129056,0.00007321387,0.0003233096,0.00005051745,0.000004952898],"category_scores_gemma":[0.0002916804,0.00004769221,0.00002016179,0.0016269,0.0002491805,0.0003428269,0.00009472526,0.00007508777,0.000002966308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001769556,"about_ca_system_score_gemma":0.00004119419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005384551,"about_ca_topic_score_gemma":0.004429456,"domain_scores_codex":[0.9985546,0.0001040191,0.0003451734,0.0003967641,0.0002990261,0.0003004282],"domain_scores_gemma":[0.9994992,0.0003101789,0.0000778221,0.00004083084,0.00003681964,0.000035173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005493602,0.00002934908,0.9359924,0.00001059212,0.000003935539,0.000005244376,0.0006334321,0.00003456569,0.0001481582,0.01950127,0.01482561,0.02876049],"study_design_scores_gemma":[0.0002494703,0.00001854,0.9514497,0.00005741549,0.000001988695,2.604208e-7,0.002916274,0.01184135,0.00001190192,0.02416644,0.009172317,0.0001143753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581934,0.00003638332,0.009009384,0.03181228,0.0001226,0.0005913069,0.000009108793,0.0000255231,0.0001999688],"genre_scores_gemma":[0.9932336,0.00006634333,0.004274582,0.001982389,0.00001923888,0.0002057658,0.0001731978,8.95679e-7,0.00004404197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0350401,"threshold_uncertainty_score":0.247174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06679812314016323,"score_gpt":0.2940737935472698,"score_spread":0.2272756704071066,"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."}}