{"id":"W4387934069","doi":"10.5751/es-14366-280407","title":"Leverage points and levers of inclusive conservation in protected areas","year":2023,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Agencia Estatal de Investigación; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; Svenska Forskningsrådet Formas; Biodiversa+; Vetenskapsrådet; National Science Foundation","keywords":"Leverage (statistics); Business; Environmental resource management; Natural resource economics; Environmental planning; Geography; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002352742,0.00004208575,0.0000686898,0.00001733415,0.0001387153,0.000003507358,0.00003814741,0.00006319633,0.0001234953],"category_scores_gemma":[0.00002692805,0.00004107951,0.00001676345,0.0001708119,0.000217846,0.00004416003,0.0002445096,0.00005190383,0.00001200659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004020148,"about_ca_system_score_gemma":0.000005742583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003883439,"about_ca_topic_score_gemma":0.0004952545,"domain_scores_codex":[0.9996226,0.00003790576,0.00007455346,0.0001221371,0.00005495585,0.00008787102],"domain_scores_gemma":[0.9998441,0.00005232938,0.0000362817,0.00004362585,0.000004808005,0.00001880526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006185708,0.0000162064,0.9931578,0.00001306846,0.000009251077,0.00000167895,0.004554841,0.00003237262,0.0002431771,0.0000163633,0.001673491,0.0002755588],"study_design_scores_gemma":[0.000388517,0.00002415059,0.9941646,0.000003053784,0.000005125653,4.173475e-7,0.002012509,0.001524224,0.00003715817,0.0005211878,0.001275787,0.00004329117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967061,0.000005237542,0.000007014378,0.002541675,0.00002350825,0.0001844965,0.000003431664,0.00001402497,0.0005144548],"genre_scores_gemma":[0.9987223,0.00006396105,0.0001481154,0.0005682194,0.000003200354,0.000005656526,0.00000692603,0.000001430431,0.0004801734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002542332,"threshold_uncertainty_score":0.1675174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052093093511564,"score_gpt":0.207887702304741,"score_spread":0.1973667713696254,"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."}}